--- OA_place: publisher _id: '12358' abstract: - lang: eng text: "The complex yarn structure of knitted and woven fabrics gives rise to both a mechanical and\r\nvisual complexity. The small-scale interactions of yarns colliding with and pulling on each\r\nother result in drastically different large-scale stretching and bending behavior, introducing\r\nanisotropy, curling, and more. While simulating cloth as individual yarns can reproduce this\r\ncomplexity and match the quality of real fabric, it may be too computationally expensive for\r\nlarge fabrics. On the other hand, continuum-based approaches do not need to discretize the\r\ncloth at a stitch-level, but it is non-trivial to find a material model that would replicate the\r\nlarge-scale behavior of yarn fabrics, and they discard the intricate visual detail. In this thesis,\r\nwe discuss three methods to try and bridge the gap between small-scale and large-scale yarn\r\nmechanics using numerical homogenization: fitting a continuum model to periodic yarn simulations, adding mechanics-aware yarn detail onto thin-shell simulations, and quantitatively\r\nfitting yarn parameters to physical measurements of real fabric.\r\nTo start, we present a method for animating yarn-level cloth effects using a thin-shell solver.\r\nWe first use a large number of periodic yarn-level simulations to build a model of the potential\r\nenergy density of the cloth, and then use it to compute forces in a thin-shell simulator. The\r\nresulting simulations faithfully reproduce expected effects like the stiffening of woven fabrics\r\nand the highly deformable nature and anisotropy of knitted fabrics at a fraction of the cost of\r\nfull yarn-level simulation.\r\nWhile our thin-shell simulations are able to capture large-scale yarn mechanics, they lack\r\nthe rich visual detail of yarn-level simulations. Therefore, we propose a method to animate\r\nyarn-level cloth geometry on top of an underlying deforming mesh in a mechanics-aware\r\nfashion in real time. Using triangle strains to interpolate precomputed yarn geometry, we are\r\nable to reproduce effects such as knit loops tightening under stretching at negligible cost.\r\nFinally, we introduce a methodology for inverse-modeling of yarn-level mechanics of cloth,\r\nbased on the mechanical response of fabrics in the real world. We compile a database from\r\nphysical tests of several knitted fabrics used in the textile industry spanning diverse physical\r\nproperties like stiffness, nonlinearity, and anisotropy. We then develop a system for approximating these mechanical responses with yarn-level cloth simulation, using homogenized\r\nshell models to speed up computation and adding some small-but-necessary extensions to\r\nyarn-level models used in computer graphics.\r\n" acknowledged_ssus: - _id: SSU alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Georg full_name: Sperl, Georg id: 4DD40360-F248-11E8-B48F-1D18A9856A87 last_name: Sperl citation: ama: 'Sperl G. Homogenizing yarn simulations: Large-scale mechanics, small-scale detail, and quantitative fitting. 2022. doi:10.15479/at:ista:12103' apa: 'Sperl, G. (2022). Homogenizing yarn simulations: Large-scale mechanics, small-scale detail, and quantitative fitting. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:12103' chicago: 'Sperl, Georg. “Homogenizing Yarn Simulations: Large-Scale Mechanics, Small-Scale Detail, and Quantitative Fitting.” Institute of Science and Technology Austria, 2022. https://doi.org/10.15479/at:ista:12103.' ieee: 'G. Sperl, “Homogenizing yarn simulations: Large-scale mechanics, small-scale detail, and quantitative fitting,” Institute of Science and Technology Austria, 2022.' ista: 'Sperl G. 2022. Homogenizing yarn simulations: Large-scale mechanics, small-scale detail, and quantitative fitting. Institute of Science and Technology Austria.' mla: 'Sperl, Georg. Homogenizing Yarn Simulations: Large-Scale Mechanics, Small-Scale Detail, and Quantitative Fitting. Institute of Science and Technology Austria, 2022, doi:10.15479/at:ista:12103.' short: 'G. Sperl, Homogenizing Yarn Simulations: Large-Scale Mechanics, Small-Scale Detail, and Quantitative Fitting, Institute of Science and Technology Austria, 2022.' corr_author: '1' date_created: 2023-01-24T10:49:46Z date_published: 2022-09-22T00:00:00Z date_updated: 2026-06-18T19:57:47Z day: '22' ddc: - '000' - '620' degree_awarded: PhD department: - _id: GradSch - _id: ChWo doi: 10.15479/at:ista:12103 ec_funded: 1 file: - access_level: open_access checksum: 083722acbb8115e52e3b0fdec6226769 content_type: application/pdf creator: cchlebak date_created: 2023-01-25T12:04:41Z date_updated: 2023-02-02T09:29:57Z description: 'This is the main PDF file of the thesis. File size: 105 MB' file_id: '12371' file_name: thesis_gsperl.pdf file_size: 104497530 relation: main_file title: Thesis - access_level: open_access checksum: 511f82025e5fcb70bff4731d6896ca07 content_type: application/pdf creator: cchlebak date_created: 2023-02-02T09:33:37Z date_updated: 2023-02-02T09:33:37Z description: This version of the thesis uses stronger image compression for a smaller file size of 23MB. file_id: '12483' file_name: thesis_gsperl_compressed.pdf file_size: 23183710 relation: main_file title: Thesis (compressed 23MB) - access_level: open_access checksum: ed4cb85225eedff761c25bddfc37a2ed content_type: application/x-zip-compressed creator: cchlebak date_created: 2023-02-02T09:39:25Z date_updated: 2023-02-02T09:39:25Z file_id: '12484' file_name: thesis-source.zip file_size: 98382247 relation: source_file file_date_updated: 2023-02-02T09:39:25Z fulldoi: https://doi.org/10.15479/at:ista:12103 has_accepted_license: '1' language: - iso: eng month: '09' oa: 1 oa_version: Published Version page: '138' project: - _id: 2533E772-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '638176' name: 'Big Splash: Efficient Simulation of Natural Phenomena at Extremely Large Scales' publication_identifier: isbn: - 978-3-99078-020-6 issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '8385' relation: part_of_dissertation status: public - id: '11736' relation: part_of_dissertation status: public - id: '9818' relation: part_of_dissertation status: public status: public supervisor: - first_name: Christopher J full_name: Wojtan, Christopher J id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87 last_name: Wojtan orcid: 0000-0001-6646-5546 title: 'Homogenizing yarn simulations: Large-scale mechanics, small-scale detail, and quantitative fitting' type: dissertation user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd year: '2022' ... --- OA_place: publisher _id: '12368' abstract: - lang: eng text: "Metazoan development relies on the formation and remodeling of cell-cell contacts. The \r\nbinding of adhesion receptors and remodeling of the actomyosin cell cortex at cell-cell \r\ninteraction sites have been implicated in cell-cell contact formation. Yet, how these two \r\nprocesses functionally interact to drive cell-cell contact expansion and strengthening \r\nremains unclear. Here, we study how primary germ layer progenitor cells from zebrafish \r\nbind to supported lipid bilayers (SLB) functionalized with E-cadherin ectodomains as an \r\nassay system for monitoring cell-cell contact formation at high spatiotemporal resolution. \r\nWe show that cell-cell contact formation represents a two-tiered process: E-cadherin\x02mediated downregulation of the small GTPase RhoA at the forming contact leads to both \r\ndepletion of Myosin-2 and decrease of F-actin. This is followed by centrifugal actin \r\nnetwork flows at the contact triggered by a sharp gradient of Myosin-2 at the rim of the \r\ncontact zone, with Myosin-2 displaying higher cortical localization outside than inside of \r\nthe contact. These centrifugal cortical actin flows, in turn, not only further dilute the actin \r\nnetwork at the contact disc, but also lead to an accumulation of both F-actin and E\x02cadherin at the contact rim. Eventually, this combination of actomyosin downregulation \r\nand flows at the contact contribute to the characteristic molecular organization implicated \r\nin contact formation and maintenance: depletion of cortical actomyosin at the contact disc, \r\ndriving contact expansion by lowering interfacial tension at the contact, and accumulation \r\nof both E-cadherin and F-actin at the contact rim, mechanically linking the contractile \r\ncortices of the adhering cells. Thus, using a biomimetic assay, we exemplify how \r\nadhesion signaling and cell mechanics function together to modulate the spatial \r\norganization of cell-cell contacts." acknowledged_ssus: - _id: LifeSc - _id: Bio - _id: NanoFab alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Feyza N full_name: Arslan, Feyza N id: 49DA7910-F248-11E8-B48F-1D18A9856A87 last_name: Arslan orcid: 0000-0001-5809-9566 citation: ama: Arslan FN. Remodeling of E-cadherin-mediated contacts via cortical  flows. 2022. doi:10.15479/at:ista:12153 apa: Arslan, F. N. (2022). Remodeling of E-cadherin-mediated contacts via cortical  flows. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:12153 chicago: Arslan, Feyza N. “Remodeling of E-Cadherin-Mediated Contacts via Cortical  Flows.” Institute of Science and Technology Austria, 2022. https://doi.org/10.15479/at:ista:12153. ieee: F. N. Arslan, “Remodeling of E-cadherin-mediated contacts via cortical  flows,” Institute of Science and Technology Austria, 2022. ista: Arslan FN. 2022. Remodeling of E-cadherin-mediated contacts via cortical  flows. Institute of Science and Technology Austria. mla: Arslan, Feyza N. Remodeling of E-Cadherin-Mediated Contacts via Cortical  Flows. Institute of Science and Technology Austria, 2022, doi:10.15479/at:ista:12153. short: F.N. Arslan, Remodeling of E-Cadherin-Mediated Contacts via Cortical  Flows, Institute of Science and Technology Austria, 2022. corr_author: '1' date_created: 2023-01-25T10:43:24Z date_published: 2022-09-29T00:00:00Z date_updated: 2026-06-18T19:47:50Z day: '29' ddc: - '570' degree_awarded: PhD department: - _id: GradSch - _id: CaHe doi: 10.15479/at:ista:12153 ec_funded: 1 file: - access_level: open_access checksum: e54a3e69b83ebf166544164afd25608e content_type: application/pdf creator: cchlebak date_created: 2023-01-25T10:52:46Z date_updated: 2023-01-25T10:52:46Z file_id: '12369' file_name: THESIS_FINAL_FArslan_pdfa.pdf file_size: 14581024 relation: main_file success: 1 file_date_updated: 2023-01-25T10:52:46Z fulldoi: https://doi.org/10.15479/at:ista:12153 has_accepted_license: '1' language: - iso: eng month: '09' oa: 1 oa_version: Published Version page: '113' project: - _id: 260F1432-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '742573' name: Interaction and feedback between cell mechanics and fate specification in vertebrate gastrulation publication_identifier: isbn: - '978-3-99078-025-1 ' issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '9350' relation: part_of_dissertation status: public status: public supervisor: - first_name: Carl-Philipp J full_name: Heisenberg, Carl-Philipp J id: 39427864-F248-11E8-B48F-1D18A9856A87 last_name: Heisenberg orcid: 0000-0002-0912-4566 title: Remodeling of E-cadherin-mediated contacts via cortical flows tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: dissertation user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd year: '2022' ... --- OA_place: publisher _id: '12390' abstract: - lang: eng text: "The scope of this thesis is to study quantum systems exhibiting a continuous symmetry that\r\nis broken on the level of the corresponding effective theory. In particular we are going to\r\ninvestigate translation-invariant Bose gases in the mean field limit, effectively described by\r\nthe Hartree functional, and the Fröhlich Polaron in the regime of strong coupling, effectively\r\ndescribed by the Pekar functional. The latter is a model describing the interaction between a\r\ncharged particle and the optical modes of a polar crystal. Regarding the former, we assume in\r\naddition that the particles in the gas are unconfined, and typically we will consider particles\r\nthat are subject to an attractive interaction. In both cases the ground state energy of the\r\nHamiltonian is not a proper eigenvalue due to the underlying translation-invariance, while on\r\nthe contrary there exists a whole invariant orbit of minimizers for the corresponding effective\r\nfunctionals. Both, the absence of proper eigenstates and the broken symmetry of the effective\r\ntheory, make the study significantly more involved and it is the content of this thesis to\r\ndevelop a frameworks which allows for a systematic way to circumvent these issues.\r\nIt is a well-established result that the ground state energy of Bose gases in the mean field limit,\r\nas well as the ground state energy of the Fröhlich Polaron in the regime of strong coupling, is\r\nto leading order given by the minimal energy of the corresponding effective theory. As part\r\nof this thesis we identify the sub-leading term in the expansion of the ground state energy,\r\nwhich can be interpreted as the quantum correction to the classical energy, since the effective\r\ntheories under consideration can be seen as classical counterparts.\r\nWe are further going to establish an asymptotic expression for the energy-momentum relation\r\nof the Fröhlich Polaron in the strong coupling limit. In the regime of suitably small momenta,\r\nthis asymptotic expression agrees with the energy-momentum relation of a free particle having\r\nan effectively increased mass, and we find that this effectively increased mass agrees with the\r\nconjectured value in the physics literature.\r\nIn addition we will discuss two unrelated papers written by the author during his stay at ISTA\r\nin the appendix. The first one concerns the realization of anyons, which are quasi-particles\r\nacquiring a non-trivial phase under the exchange of two particles, as molecular impurities.\r\nThe second one provides a classification of those vector fields defined on a given manifold\r\nthat can be written as the gradient of a given functional with respect to a suitable metric,\r\nprovided that some mild smoothness assumptions hold. This classification is subsequently\r\nused to identify those quantum Markov semigroups that can be written as a gradient flow of\r\nthe relative entropy.\r\n" alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Morris full_name: Brooks, Morris id: B7ECF9FC-AA38-11E9-AC9A-0930E6697425 last_name: Brooks orcid: 0000-0002-6249-0928 citation: ama: Brooks M. Translation-invariant quantum systems with effectively broken symmetry. 2022. doi:10.15479/at:ista:12390 apa: Brooks, M. (2022). Translation-invariant quantum systems with effectively broken symmetry. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:12390 chicago: Brooks, Morris. “Translation-Invariant Quantum Systems with Effectively Broken Symmetry.” Institute of Science and Technology Austria, 2022. https://doi.org/10.15479/at:ista:12390. ieee: M. Brooks, “Translation-invariant quantum systems with effectively broken symmetry,” Institute of Science and Technology Austria, 2022. ista: Brooks M. 2022. Translation-invariant quantum systems with effectively broken symmetry. Institute of Science and Technology Austria. mla: Brooks, Morris. Translation-Invariant Quantum Systems with Effectively Broken Symmetry. Institute of Science and Technology Austria, 2022, doi:10.15479/at:ista:12390. short: M. Brooks, Translation-Invariant Quantum Systems with Effectively Broken Symmetry, Institute of Science and Technology Austria, 2022. corr_author: '1' date_created: 2023-01-26T10:00:42Z date_published: 2022-12-15T00:00:00Z date_updated: 2026-04-16T08:20:52Z day: '15' ddc: - '500' degree_awarded: PhD department: - _id: GradSch - _id: RoSe doi: 10.15479/at:ista:12390 ec_funded: 1 file: - access_level: open_access checksum: b31460e937f33b557abb40ebef02b567 content_type: application/pdf creator: cchlebak date_created: 2023-01-26T10:02:34Z date_updated: 2023-01-26T10:02:34Z file_id: '12391' file_name: Brooks_Thesis.pdf file_size: 3095225 relation: main_file success: 1 - access_level: closed checksum: 9751869fa5e7981588ad4228f4fd4bd6 content_type: application/octet-stream creator: cchlebak date_created: 2023-01-26T10:02:42Z date_updated: 2023-01-26T10:02:42Z file_id: '12392' file_name: Brooks_Thesis.tex file_size: 809842 relation: source_file file_date_updated: 2023-01-26T10:02:42Z fulldoi: https://doi.org/10.15479/at:ista:12390 has_accepted_license: '1' language: - iso: eng license: https://creativecommons.org/licenses/by-nc-sa/4.0/ month: '12' oa: 1 oa_version: Published Version page: '196' project: - _id: 25C6DC12-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '694227' name: Analysis of quantum many-body systems publication_identifier: issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '9005' relation: part_of_dissertation status: public status: public supervisor: - first_name: Robert full_name: Seiringer, Robert id: 4AFD0470-F248-11E8-B48F-1D18A9856A87 last_name: Seiringer orcid: 0000-0002-6781-0521 title: Translation-invariant quantum systems with effectively broken symmetry tmp: image: /images/cc_by_nc_sa.png legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) short: CC BY-NC-SA (4.0) type: dissertation user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd year: '2022' ... --- _id: '12431' abstract: - lang: eng text: This paper presents a new representation of curve dynamics, with applications to vortex filaments in fluid dynamics. Instead of representing these filaments with explicit curve geometry and Lagrangian equations of motion, we represent curves implicitly with a new co-dimensional 2 level set description. Our implicit representation admits several redundant mathematical degrees of freedom in both the configuration and the dynamics of the curves, which can be tailored specifically to improve numerical robustness, in contrast to naive approaches for implicit curve dynamics that suffer from overwhelming numerical stability problems. Furthermore, we note how these hidden degrees of freedom perfectly map to a Clebsch representation in fluid dynamics. Motivated by these observations, we introduce untwisted level set functions and non-swirling dynamics which successfully regularize sources of numerical instability, particularly in the twisting modes around curve filaments. A consequence is a novel simulation method which produces stable dynamics for large numbers of interacting vortex filaments and effortlessly handles topological changes and re-connection events. acknowledgement: We thank the visual computing group at IST Austria for their valuable discussions and feedback. Houdini Education licenses were provided by SideFX software. This project was funded in part by the European Research Council (ERC Consolidator Grant 101045083 CoDiNA). article_number: '241' article_processing_charge: No article_type: original author: - first_name: Sadashige full_name: Ishida, Sadashige id: 6F7C4B96-A8E9-11E9-A7CA-09ECE5697425 last_name: Ishida orcid: 0000-0002-3121-3100 - first_name: Christopher J full_name: Wojtan, Christopher J id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87 last_name: Wojtan orcid: 0000-0001-6646-5546 - first_name: Albert full_name: Chern, Albert last_name: Chern citation: ama: Ishida S, Wojtan C, Chern A. Hidden degrees of freedom in implicit vortex filaments. ACM Transactions on Graphics. 2022;41(6). doi:10.1145/3550454.3555459 apa: Ishida, S., Wojtan, C., & Chern, A. (2022). Hidden degrees of freedom in implicit vortex filaments. ACM Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/3550454.3555459 chicago: Ishida, Sadashige, Chris Wojtan, and Albert Chern. “Hidden Degrees of Freedom in Implicit Vortex Filaments.” ACM Transactions on Graphics. Association for Computing Machinery, 2022. https://doi.org/10.1145/3550454.3555459. ieee: S. Ishida, C. Wojtan, and A. Chern, “Hidden degrees of freedom in implicit vortex filaments,” ACM Transactions on Graphics, vol. 41, no. 6. Association for Computing Machinery, 2022. ista: Ishida S, Wojtan C, Chern A. 2022. Hidden degrees of freedom in implicit vortex filaments. ACM Transactions on Graphics. 41(6), 241. mla: Ishida, Sadashige, et al. “Hidden Degrees of Freedom in Implicit Vortex Filaments.” ACM Transactions on Graphics, vol. 41, no. 6, 241, Association for Computing Machinery, 2022, doi:10.1145/3550454.3555459. short: S. Ishida, C. Wojtan, A. Chern, ACM Transactions on Graphics 41 (2022). date_created: 2023-01-29T23:00:59Z date_published: 2022-12-01T00:00:00Z date_updated: 2026-04-07T12:02:23Z day: '01' ddc: - '000' department: - _id: ChWo doi: 10.1145/3550454.3555459 external_id: isi: - '000891651900061' file: - access_level: open_access checksum: a2fba257fdefe0e747182be6c0f7c70c content_type: application/pdf creator: dernst date_created: 2023-01-30T07:15:48Z date_updated: 2023-01-30T07:15:48Z file_id: '12433' file_name: 2022_ACM_Ishida.pdf file_size: 15551202 relation: main_file success: 1 file_date_updated: 2023-01-30T07:15:48Z fulldoi: https://doi.org/10.1145/3550454.3555459 has_accepted_license: '1' intvolume: ' 41' isi: 1 issue: '6' language: - iso: eng month: '12' oa: 1 oa_version: Published Version project: - _id: 34bc2376-11ca-11ed-8bc3-9a3b3961a088 grant_number: '101045083' name: Computational Discovery of Numerical Algorithms for Animation and Simulation of Natural Phenomena publication: ACM Transactions on Graphics publication_identifier: eissn: - 1557-7368 issn: - 0730-0301 publication_status: published publisher: Association for Computing Machinery quality_controlled: '1' related_material: record: - id: '20551' relation: dissertation_contains status: public scopus_import: '1' status: public title: Hidden degrees of freedom in implicit vortex filaments tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 41 year: '2022' ... --- _id: '12452' abstract: - lang: eng text: Portrait viewpoint and illumination editing is an important problem with several applications in VR/AR, movies, and photography. Comprehensive knowledge of geometry and illumination is critical for obtaining photorealistic results. Current methods are unable to explicitly model in 3D while handing both viewpoint and illumination editing from a single image. In this paper, we propose VoRF, a novel approach that can take even a single portrait image as input and relight human heads under novel illuminations that can be viewed from arbitrary viewpoints. VoRF represents a human head as a continuous volumetric field and learns a prior model of human heads using a coordinate-based MLP with separate latent spaces for identity and illumination. The prior model is learnt in an auto-decoder manner over a diverse class of head shapes and appearances, allowing VoRF to generalize to novel test identities from a single input image. Additionally, VoRF has a reflectance MLP that uses the intermediate features of the prior model for rendering One-Light-at-A-Time (OLAT) images under novel views. We synthesize novel illuminations by combining these OLAT images with target environment maps. Qualitative and quantitative evaluations demonstrate the effectiveness of VoRF for relighting and novel view synthesis even when applied to unseen subjects under uncontrolled illuminations. acknowledgement: This work was supported by the ERC Consolidator Grant 4DReply (770784). article_number: '708' article_processing_charge: No author: - first_name: Pramod full_name: Rao, Pramod last_name: Rao - first_name: Mallikarjun full_name: B R, Mallikarjun last_name: B R - first_name: Gereon full_name: Fox, Gereon last_name: Fox - first_name: Tim full_name: Weyrich, Tim last_name: Weyrich - first_name: Bernd full_name: Bickel, Bernd id: 49876194-F248-11E8-B48F-1D18A9856A87 last_name: Bickel orcid: 0000-0001-6511-9385 - first_name: Hans-Peter full_name: Seidel, Hans-Peter last_name: Seidel - first_name: Hanspeter full_name: Pfister, Hanspeter last_name: Pfister - first_name: Wojciech full_name: Matusik, Wojciech last_name: Matusik - first_name: Ayush full_name: Tewari, Ayush last_name: Tewari - first_name: Christian full_name: Theobalt, Christian last_name: Theobalt - first_name: Mohamed full_name: Elgharib, Mohamed last_name: Elgharib citation: ama: 'Rao P, B R M, Fox G, et al. VoRF: Volumetric Relightable Faces. In: 33rd British Machine Vision Conference. British Machine Vision Association and Society for Pattern Recognition; 2022.' apa: 'Rao, P., B R, M., Fox, G., Weyrich, T., Bickel, B., Seidel, H.-P., … Elgharib, M. (2022). VoRF: Volumetric Relightable Faces. In 33rd British Machine Vision Conference. London, United Kingdom: British Machine Vision Association and Society for Pattern Recognition.' chicago: 'Rao, Pramod, Mallikarjun B R, Gereon Fox, Tim Weyrich, Bernd Bickel, Hans-Peter Seidel, Hanspeter Pfister, et al. “VoRF: Volumetric Relightable Faces.” In 33rd British Machine Vision Conference. British Machine Vision Association and Society for Pattern Recognition, 2022.' ieee: 'P. Rao et al., “VoRF: Volumetric Relightable Faces,” in 33rd British Machine Vision Conference, London, United Kingdom, 2022.' ista: 'Rao P, B R M, Fox G, Weyrich T, Bickel B, Seidel H-P, Pfister H, Matusik W, Tewari A, Theobalt C, Elgharib M. 2022. VoRF: Volumetric Relightable Faces. 33rd British Machine Vision Conference. BMVC: British Machine Vision Conference, 708.' mla: 'Rao, Pramod, et al. “VoRF: Volumetric Relightable Faces.” 33rd British Machine Vision Conference, 708, British Machine Vision Association and Society for Pattern Recognition, 2022.' short: P. Rao, M. B R, G. Fox, T. Weyrich, B. Bickel, H.-P. Seidel, H. Pfister, W. Matusik, A. Tewari, C. Theobalt, M. Elgharib, in:, 33rd British Machine Vision Conference, British Machine Vision Association and Society for Pattern Recognition, 2022. conference: end_date: 2022-11-24 location: London, United Kingdom name: 'BMVC: British Machine Vision Conference' start_date: 2022-11-21 date_created: 2023-01-30T10:47:06Z date_published: 2022-12-01T00:00:00Z date_updated: 2023-10-31T08:40:55Z day: '01' ddc: - '000' department: - _id: BeBi file: - access_level: open_access checksum: b60b70bb48700aee709c85a69231821d content_type: application/pdf creator: bbickel date_created: 2023-01-30T10:48:18Z date_updated: 2023-01-30T10:48:18Z file_id: '12453' file_name: vorf_main.pdf file_size: 5202710 relation: main_file title: 'VoRF: Volumetric Relightable Faces' - access_level: open_access checksum: ce5f4ce66eaaa1590ee5df989fca6f61 content_type: application/pdf creator: bbickel date_created: 2023-01-30T10:48:29Z date_updated: 2023-01-30T10:48:29Z file_id: '12454' file_name: vorf_supp.pdf file_size: 37953188 relation: supplementary_material title: 'VoRF: Volumetric Relightable Faces – SUPPLEMENTAL MATERIAL –' - access_level: open_access checksum: 08aecca434b08fee75ee1efe87943718 content_type: video/mp4 creator: bbickel date_created: 2023-01-30T10:48:37Z date_updated: 2023-01-30T10:48:37Z file_id: '12455' file_name: video.mp4 file_size: 57855492 relation: supplementary_material file_date_updated: 2023-01-30T10:48:37Z has_accepted_license: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://bmvc2022.mpi-inf.mpg.de/708/ month: '12' oa: 1 oa_version: Published Version publication: 33rd British Machine Vision Conference publication_status: published publisher: British Machine Vision Association and Society for Pattern Recognition quality_controlled: '1' scopus_import: '1' status: public title: 'VoRF: Volumetric Relightable Faces' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2022' ... --- _id: '12480' abstract: - lang: eng text: 'We consider the problem of estimating a signal from measurements obtained via a generalized linear model. We focus on estimators based on approximate message passing (AMP), a family of iterative algorithms with many appealing features: the performance of AMP in the high-dimensional limit can be succinctly characterized under suitable model assumptions; AMP can also be tailored to the empirical distribution of the signal entries, and for a wide class of estimation problems, AMP is conjectured to be optimal among all polynomial-time algorithms. However, a major issue of AMP is that in many models (such as phase retrieval), it requires an initialization correlated with the ground-truth signal and independent from the measurement matrix. Assuming that such an initialization is available is typically not realistic. In this paper, we solve this problem by proposing an AMP algorithm initialized with a spectral estimator. With such an initialization, the standard AMP analysis fails since the spectral estimator depends in a complicated way on the design matrix. Our main contribution is a rigorous characterization of the performance of AMP with spectral initialization in the high-dimensional limit. The key technical idea is to define and analyze a two-phase artificial AMP algorithm that first produces the spectral estimator, and then closely approximates the iterates of the true AMP. We also provide numerical results that demonstrate the validity of the proposed approach.' acknowledgement: "The authors would like to thank Andrea Montanari for helpful discussions.\r\nM Mondelli was partially supported by the 2019 Lopez-Loreta Prize. R Venkataramanan was partially supported by the Alan Turing Institute under the EPSRC Grant\r\nEP/N510129/1." article_number: '114003' article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Marco full_name: Mondelli, Marco id: 27EB676C-8706-11E9-9510-7717E6697425 last_name: Mondelli orcid: 0000-0002-3242-7020 - first_name: Ramji full_name: Venkataramanan, Ramji last_name: Venkataramanan citation: ama: 'Mondelli M, Venkataramanan R. Approximate message passing with spectral initialization for generalized linear models. Journal of Statistical Mechanics: Theory and Experiment. 2022;2022(11). doi:10.1088/1742-5468/ac9828' apa: 'Mondelli, M., & Venkataramanan, R. (2022). Approximate message passing with spectral initialization for generalized linear models. Journal of Statistical Mechanics: Theory and Experiment. IOP Publishing. https://doi.org/10.1088/1742-5468/ac9828' chicago: 'Mondelli, Marco, and Ramji Venkataramanan. “Approximate Message Passing with Spectral Initialization for Generalized Linear Models.” Journal of Statistical Mechanics: Theory and Experiment. IOP Publishing, 2022. https://doi.org/10.1088/1742-5468/ac9828.' ieee: 'M. Mondelli and R. Venkataramanan, “Approximate message passing with spectral initialization for generalized linear models,” Journal of Statistical Mechanics: Theory and Experiment, vol. 2022, no. 11. IOP Publishing, 2022.' ista: 'Mondelli M, Venkataramanan R. 2022. Approximate message passing with spectral initialization for generalized linear models. Journal of Statistical Mechanics: Theory and Experiment. 2022(11), 114003.' mla: 'Mondelli, Marco, and Ramji Venkataramanan. “Approximate Message Passing with Spectral Initialization for Generalized Linear Models.” Journal of Statistical Mechanics: Theory and Experiment, vol. 2022, no. 11, 114003, IOP Publishing, 2022, doi:10.1088/1742-5468/ac9828.' short: 'M. Mondelli, R. Venkataramanan, Journal of Statistical Mechanics: Theory and Experiment 2022 (2022).' corr_author: '1' date_created: 2023-02-02T08:31:57Z date_published: 2022-11-24T00:00:00Z date_updated: 2025-04-15T07:50:16Z day: '24' ddc: - '510' - '530' department: - _id: MaMo doi: 10.1088/1742-5468/ac9828 external_id: isi: - '000889589900001' file: - access_level: open_access checksum: 01411ffa76d3e380a0446baeb89b1ef7 content_type: application/pdf creator: dernst date_created: 2023-02-02T08:35:52Z date_updated: 2023-02-02T08:35:52Z file_id: '12481' file_name: 2022_JourStatisticalMechanics_Mondelli.pdf file_size: 1729997 relation: main_file success: 1 file_date_updated: 2023-02-02T08:35:52Z fulldoi: https://doi.org/10.1088/1742-5468/ac9828 has_accepted_license: '1' intvolume: ' 2022' isi: 1 issue: '11' keyword: - Statistics - Probability and Uncertainty - Statistics and Probability - Statistical and Nonlinear Physics language: - iso: eng month: '11' oa: 1 oa_version: Published Version project: - _id: 059876FA-7A3F-11EA-A408-12923DDC885E name: Prix Lopez-Loretta 2019 - Marco Mondelli publication: 'Journal of Statistical Mechanics: Theory and Experiment' publication_identifier: issn: - 1742-5468 publication_status: published publisher: IOP Publishing quality_controlled: '1' related_material: record: - id: '10598' relation: earlier_version status: public scopus_import: '1' status: public title: Approximate message passing with spectral initialization for generalized linear models tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 2022 year: '2022' ... --- _id: '12495' abstract: - lang: eng text: "Fairness-aware learning aims at constructing classifiers that not only make accurate predictions, but also do not discriminate against specific groups. It is a fast-growing area of\r\nmachine learning with far-reaching societal impact. However, existing fair learning methods\r\nare vulnerable to accidental or malicious artifacts in the training data, which can cause\r\nthem to unknowingly produce unfair classifiers. In this work we address the problem of\r\nfair learning from unreliable training data in the robust multisource setting, where the\r\navailable training data comes from multiple sources, a fraction of which might not be representative of the true data distribution. We introduce FLEA, a filtering-based algorithm\r\nthat identifies and suppresses those data sources that would have a negative impact on\r\nfairness or accuracy if they were used for training. As such, FLEA is not a replacement of\r\nprior fairness-aware learning methods but rather an augmentation that makes any of them\r\nrobust against unreliable training data. We show the effectiveness of our approach by a\r\ndiverse range of experiments on multiple datasets. Additionally, we prove formally that\r\n–given enough data– FLEA protects the learner against corruptions as long as the fraction of\r\naffected data sources is less than half. Our source code and documentation are available at\r\nhttps://github.com/ISTAustria-CVML/FLEA." acknowledged_ssus: - _id: ScienComp acknowledgement: 'The authors would like to thank Bernd Prach, Elias Frantar, Alexandra Peste, Mahdi Nikdan, and Peter Súkeník for their helpful feedback. This research was supported by the Scientific Service Units (SSU) of IST Austria through resources provided by Scientific Computing (SciComp). This publication was made possible by an ETH AI Center postdoctoral fellowship granted to Nikola Konstantinov. Eugenia Iofinova was supported in part by the FWF DK VGSCO, grant agreement number W1260-N35. ' article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Eugenia B full_name: Iofinova, Eugenia B id: f9a17499-f6e0-11ea-865d-fdf9a3f77117 last_name: Iofinova orcid: 0000-0002-7778-3221 - first_name: Nikola H full_name: Konstantinov, Nikola H id: 4B9D76E4-F248-11E8-B48F-1D18A9856A87 last_name: Konstantinov orcid: 0009-0009-5204-7621 - first_name: Christoph full_name: Lampert, Christoph id: 40C20FD2-F248-11E8-B48F-1D18A9856A87 last_name: Lampert orcid: 0000-0001-8622-7887 citation: ama: 'Iofinova EB, Konstantinov NH, Lampert C. FLEA: Provably robust fair multisource learning from unreliable training data. Transactions on Machine Learning Research. 2022.' apa: 'Iofinova, E. B., Konstantinov, N. H., & Lampert, C. (2022). FLEA: Provably robust fair multisource learning from unreliable training data. Transactions on Machine Learning Research. ML Research Press.' chicago: 'Iofinova, Eugenia B, Nikola H Konstantinov, and Christoph Lampert. “FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data.” Transactions on Machine Learning Research. ML Research Press, 2022.' ieee: 'E. B. Iofinova, N. H. Konstantinov, and C. Lampert, “FLEA: Provably robust fair multisource learning from unreliable training data,” Transactions on Machine Learning Research. ML Research Press, 2022.' ista: 'Iofinova EB, Konstantinov NH, Lampert C. 2022. FLEA: Provably robust fair multisource learning from unreliable training data. Transactions on Machine Learning Research.' mla: 'Iofinova, Eugenia B., et al. “FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data.” Transactions on Machine Learning Research, ML Research Press, 2022.' short: E.B. Iofinova, N.H. Konstantinov, C. Lampert, Transactions on Machine Learning Research (2022). corr_author: '1' date_created: 2023-02-02T20:29:57Z date_published: 2022-12-22T00:00:00Z date_updated: 2025-12-30T11:04:31Z day: '22' ddc: - '000' department: - _id: ChLa external_id: arxiv: - '2106.11732' file: - access_level: open_access checksum: 97c8a8470759cab597abb973ca137a3b content_type: application/pdf creator: dernst date_created: 2023-02-23T10:30:04Z date_updated: 2023-02-23T10:30:04Z file_id: '12673' file_name: 2022_TMLR_Iofinova.pdf file_size: 1948063 relation: main_file success: 1 file_date_updated: 2023-02-23T10:30:04Z has_accepted_license: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://openreview.net/forum?id=XsPopigZXV month: '12' oa: 1 oa_version: Published Version project: - _id: 9B9290DE-BA93-11EA-9121-9846C619BF3A grant_number: W1260-N35 name: Vienna Graduate School on Computational Optimization publication: Transactions on Machine Learning Research publication_identifier: issn: - 2835-8856 publication_status: published publisher: ML Research Press quality_controlled: '1' related_material: link: - description: source code relation: software url: https://github.com/ISTAustria-CVML/FLEA status: public title: 'FLEA: Provably robust fair multisource learning from unreliable training data' tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2022' ... --- _id: '12509' abstract: - lang: eng text: A graph game is a two-player zero-sum game in which the players move a token throughout a graph to produce an infinite path, which determines the winner or payoff of the game. In bidding games, both players have budgets, and in each turn, we hold an "auction" (bidding) to determine which player moves the token. In this survey, we consider several bidding mechanisms and their effect on the properties of the game. Specifically, bidding games, and in particular bidding games of infinite duration, have an intriguing equivalence with random-turn games in which in each turn, the player who moves is chosen randomly. We summarize how minor changes in the bidding mechanism lead to unexpected differences in the equivalence with random-turn games. acknowledgement: "Guy Avni: Work partially supported by the Israel Science Foundation, ISF grant agreement\r\nno 1679/21.\r\nThomas A. Henzinger: This work was supported in part by the ERC-2020-AdG 101020093.\r\nWe would like to thank all our collaborators Milad Aghajohari, Ventsislav Chonev, Rasmus Ibsen-Jensen, Ismäel Jecker, Petr Novotný, Josef Tkadlec, and Ðorđe Žikelić; we hope the collaboration was as fun and meaningful for you as it was for us." article_processing_charge: No author: - first_name: Guy full_name: Avni, Guy id: 463C8BC2-F248-11E8-B48F-1D18A9856A87 last_name: Avni orcid: 0000-0001-5588-8287 - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 citation: ama: 'Avni G, Henzinger TA. An updated survey of bidding games on graphs. In: 47th International Symposium on Mathematical Foundations of Computer Science. Vol 241. Leibniz International Proceedings in Informatics (LIPIcs). Dagstuhl, Germany: Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2022:3:1-3:6. doi:10.4230/LIPIcs.MFCS.2022.3' apa: 'Avni, G., & Henzinger, T. A. (2022). An updated survey of bidding games on graphs. In 47th International Symposium on Mathematical Foundations of Computer Science (Vol. 241, p. 3:1-3:6). Dagstuhl, Germany: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.MFCS.2022.3' chicago: 'Avni, Guy, and Thomas A Henzinger. “An Updated Survey of Bidding Games on Graphs.” In 47th International Symposium on Mathematical Foundations of Computer Science, 241:3:1-3:6. Leibniz International Proceedings in Informatics (LIPIcs). Dagstuhl, Germany: Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022. https://doi.org/10.4230/LIPIcs.MFCS.2022.3.' ieee: G. Avni and T. A. Henzinger, “An updated survey of bidding games on graphs,” in 47th International Symposium on Mathematical Foundations of Computer Science, Vienna, Austria, 2022, vol. 241, p. 3:1-3:6. ista: 'Avni G, Henzinger TA. 2022. An updated survey of bidding games on graphs. 47th International Symposium on Mathematical Foundations of Computer Science. MFCS: Mathematical Foundations of Computer ScienceLeibniz International Proceedings in Informatics (LIPIcs) vol. 241, 3:1-3:6.' mla: Avni, Guy, and Thomas A. Henzinger. “An Updated Survey of Bidding Games on Graphs.” 47th International Symposium on Mathematical Foundations of Computer Science, vol. 241, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, p. 3:1-3:6, doi:10.4230/LIPIcs.MFCS.2022.3. short: G. Avni, T.A. Henzinger, in:, 47th International Symposium on Mathematical Foundations of Computer Science, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Dagstuhl, Germany, 2022, p. 3:1-3:6. conference: end_date: 2022-08-26 location: Vienna, Austria name: 'MFCS: Mathematical Foundations of Computer Science' start_date: 2022-08-22 corr_author: '1' date_created: 2023-02-05T17:26:01Z date_published: 2022-08-22T00:00:00Z date_updated: 2025-07-10T11:50:27Z day: '22' ddc: - '000' department: - _id: ToHe doi: 10.4230/LIPIcs.MFCS.2022.3 ec_funded: 1 file: - access_level: open_access checksum: 1888ec9421622f9526fbec2de035f132 content_type: application/pdf creator: dernst date_created: 2023-02-06T09:13:04Z date_updated: 2023-02-06T09:13:04Z file_id: '12519' file_name: 2022_LIPICs_Avni.pdf file_size: 624586 relation: main_file success: 1 file_date_updated: 2023-02-06T09:13:04Z fulldoi: https://doi.org/10.4230/LIPIcs.MFCS.2022.3 has_accepted_license: '1' intvolume: ' 241' language: - iso: eng month: '08' oa: 1 oa_version: Published Version page: 3:1-3:6 place: Dagstuhl, Germany project: - _id: 62781420-2b32-11ec-9570-8d9b63373d4d call_identifier: H2020 grant_number: '101020093' name: Vigilant Algorithmic Monitoring of Software publication: 47th International Symposium on Mathematical Foundations of Computer Science publication_identifier: isbn: - '9783959772563' issn: - 1868-8969 publication_status: published publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik quality_controlled: '1' scopus_import: '1' series_title: Leibniz International Proceedings in Informatics (LIPIcs) status: public title: An updated survey of bidding games on graphs tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 241 year: '2022' ... --- _id: '12510' abstract: - lang: eng text: "We introduce a new statistical verification algorithm that formally quantifies the behavioral robustness of any time-continuous process formulated as a continuous-depth model. Our algorithm solves a set of global optimization (Go) problems over a given time horizon to construct a tight enclosure (Tube) of the set of all process executions starting from a ball of initial states. We call our algorithm GoTube. Through its construction, GoTube ensures that the bounding tube is conservative up to a desired probability and up to a desired tightness.\r\n GoTube is implemented in JAX and optimized to scale to complex continuous-depth neural network models. Compared to advanced reachability analysis tools for time-continuous neural networks, GoTube does not accumulate overapproximation errors between time steps and avoids the infamous wrapping effect inherent in symbolic techniques. We show that GoTube substantially outperforms state-of-the-art verification tools in terms of the size of the initial ball, speed, time-horizon, task completion, and scalability on a large set of experiments.\r\n GoTube is stable and sets the state-of-the-art in terms of its ability to scale to time horizons well beyond what has been previously possible." acknowledgement: SG is funded by the Austrian Science Fund (FWF) project number W1255-N23. ML and TH are supported in part by FWF under grant Z211-N23 (Wittgenstein Award) and the ERC-2020-AdG 101020093. SS is supported by NSF awards DCL-2040599, CCF-1918225, and CPS-1446832. RH and DR are partially supported by Boeing. RG is partially supported by Horizon-2020 ECSEL Project grant No. 783163 (iDev40). article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Sophie A. full_name: Gruenbacher, Sophie A. last_name: Gruenbacher - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Ramin full_name: Hasani, Ramin last_name: Hasani - first_name: Daniela full_name: Rus, Daniela last_name: Rus - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 - first_name: Scott A. full_name: Smolka, Scott A. last_name: Smolka - first_name: Radu full_name: Grosu, Radu last_name: Grosu citation: ama: 'Gruenbacher SA, Lechner M, Hasani R, et al. GoTube: Scalable statistical verification of continuous-depth models. Proceedings of the AAAI Conference on Artificial Intelligence. 2022;36(6):6755-6764. doi:10.1609/aaai.v36i6.20631' apa: 'Gruenbacher, S. A., Lechner, M., Hasani, R., Rus, D., Henzinger, T. A., Smolka, S. A., & Grosu, R. (2022). GoTube: Scalable statistical verification of continuous-depth models. Proceedings of the AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v36i6.20631' chicago: 'Gruenbacher, Sophie A., Mathias Lechner, Ramin Hasani, Daniela Rus, Thomas A Henzinger, Scott A. Smolka, and Radu Grosu. “GoTube: Scalable Statistical Verification of Continuous-Depth Models.” Proceedings of the AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence, 2022. https://doi.org/10.1609/aaai.v36i6.20631.' ieee: 'S. A. Gruenbacher et al., “GoTube: Scalable statistical verification of continuous-depth models,” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 6. Association for the Advancement of Artificial Intelligence, pp. 6755–6764, 2022.' ista: 'Gruenbacher SA, Lechner M, Hasani R, Rus D, Henzinger TA, Smolka SA, Grosu R. 2022. GoTube: Scalable statistical verification of continuous-depth models. Proceedings of the AAAI Conference on Artificial Intelligence. 36(6), 6755–6764.' mla: 'Gruenbacher, Sophie A., et al. “GoTube: Scalable Statistical Verification of Continuous-Depth Models.” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 6, Association for the Advancement of Artificial Intelligence, 2022, pp. 6755–64, doi:10.1609/aaai.v36i6.20631.' short: S.A. Gruenbacher, M. Lechner, R. Hasani, D. Rus, T.A. Henzinger, S.A. Smolka, R. Grosu, Proceedings of the AAAI Conference on Artificial Intelligence 36 (2022) 6755–6764. date_created: 2023-02-05T17:27:42Z date_published: 2022-06-28T00:00:00Z date_updated: 2025-04-15T06:26:14Z day: '28' department: - _id: ToHe doi: 10.1609/aaai.v36i6.20631 ec_funded: 1 external_id: arxiv: - '2107.08467' fulldoi: https://doi.org/10.1609/aaai.v36i6.20631 intvolume: ' 36' issue: '6' keyword: - General Medicine language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2107.08467 month: '06' oa: 1 oa_version: Preprint page: 6755-6764 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: Formal methods for the design and analysis of complex systems - _id: 62781420-2b32-11ec-9570-8d9b63373d4d call_identifier: H2020 grant_number: '101020093' name: Vigilant Algorithmic Monitoring of Software publication: Proceedings of the AAAI Conference on Artificial Intelligence publication_identifier: eissn: - 2374-3468 isbn: - '978577358350' issn: - 2159-5399 publication_status: published publisher: Association for the Advancement of Artificial Intelligence quality_controlled: '1' scopus_import: '1' status: public title: 'GoTube: Scalable statistical verification of continuous-depth models' type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 36 year: '2022' ... --- _id: '12511' abstract: - lang: eng text: "We consider the problem of formally verifying almost-sure (a.s.) asymptotic stability in discrete-time nonlinear stochastic control systems. While verifying stability in deterministic control systems is extensively studied in the literature, verifying stability in stochastic control systems is an open problem. The few existing works on this topic either consider only specialized forms of stochasticity or make restrictive assumptions on the system, rendering them inapplicable to learning algorithms with neural network policies. \r\n In this work, we present an approach for general nonlinear stochastic control problems with two novel aspects: (a) instead of classical stochastic extensions of Lyapunov functions, we use ranking supermartingales (RSMs) to certify a.s. asymptotic stability, and (b) we present a method for learning neural network RSMs. \r\n We prove that our approach guarantees a.s. asymptotic stability of the system and\r\n provides the first method to obtain bounds on the stabilization time, which stochastic Lyapunov functions do not.\r\n Finally, we validate our approach experimentally on a set of nonlinear stochastic reinforcement learning environments with neural network policies." acknowledgement: "This work was supported in part by the ERC-2020-AdG 101020093, ERC CoG 863818 (FoRM-SMArt) and the European Union’s Horizon 2020 research and innovation programme\r\nunder the Marie Skłodowska-Curie Grant Agreement No. 665385." article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Dorde full_name: Zikelic, Dorde id: 294AA7A6-F248-11E8-B48F-1D18A9856A87 last_name: Zikelic orcid: 0000-0002-4681-1699 - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 citation: ama: Lechner M, Zikelic D, Chatterjee K, Henzinger TA. Stability verification in stochastic control systems via neural network supermartingales. Proceedings of the AAAI Conference on Artificial Intelligence. 2022;36(7):7326-7336. doi:10.1609/aaai.v36i7.20695 apa: Lechner, M., Zikelic, D., Chatterjee, K., & Henzinger, T. A. (2022). Stability verification in stochastic control systems via neural network supermartingales. Proceedings of the AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v36i7.20695 chicago: Lechner, Mathias, Dorde Zikelic, Krishnendu Chatterjee, and Thomas A Henzinger. “Stability Verification in Stochastic Control Systems via Neural Network Supermartingales.” Proceedings of the AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence, 2022. https://doi.org/10.1609/aaai.v36i7.20695. ieee: M. Lechner, D. Zikelic, K. Chatterjee, and T. A. Henzinger, “Stability verification in stochastic control systems via neural network supermartingales,” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 7. Association for the Advancement of Artificial Intelligence, pp. 7326–7336, 2022. ista: Lechner M, Zikelic D, Chatterjee K, Henzinger TA. 2022. Stability verification in stochastic control systems via neural network supermartingales. Proceedings of the AAAI Conference on Artificial Intelligence. 36(7), 7326–7336. mla: Lechner, Mathias, et al. “Stability Verification in Stochastic Control Systems via Neural Network Supermartingales.” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 7, Association for the Advancement of Artificial Intelligence, 2022, pp. 7326–36, doi:10.1609/aaai.v36i7.20695. short: M. Lechner, D. Zikelic, K. Chatterjee, T.A. Henzinger, Proceedings of the AAAI Conference on Artificial Intelligence 36 (2022) 7326–7336. corr_author: '1' date_created: 2023-02-05T17:29:50Z date_published: 2022-06-28T00:00:00Z date_updated: 2026-04-07T13:27:55Z day: '28' department: - _id: ToHe - _id: KrCh doi: 10.1609/aaai.v36i7.20695 ec_funded: 1 external_id: arxiv: - '2112.09495' fulldoi: https://doi.org/10.1609/aaai.v36i7.20695 intvolume: ' 36' issue: '7' keyword: - General Medicine language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2112.09495 month: '06' oa: 1 oa_version: Preprint page: 7326-7336 project: - _id: 62781420-2b32-11ec-9570-8d9b63373d4d call_identifier: H2020 grant_number: '101020093' name: Vigilant Algorithmic Monitoring of Software - _id: 0599E47C-7A3F-11EA-A408-12923DDC885E call_identifier: H2020 grant_number: '863818' name: 'Formal Methods for Stochastic Models: Algorithms and Applications' - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program publication: Proceedings of the AAAI Conference on Artificial Intelligence publication_identifier: eissn: - 2374-3468 isbn: - '9781577358350' issn: - 2159-5399 publication_status: published publisher: Association for the Advancement of Artificial Intelligence quality_controlled: '1' related_material: record: - id: '14539' relation: dissertation_contains status: public scopus_import: '1' status: public title: Stability verification in stochastic control systems via neural network supermartingales type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 36 year: '2022' ... --- _id: '12516' abstract: - lang: eng text: "The homogeneous continuous LWE (hCLWE) problem is to distinguish samples of a specific high-dimensional Gaussian mixture from standard normal samples. It was shown to be at least as hard as Learning with Errors, but no reduction in the other direction is currently known.\r\nWe present four new public-key encryption schemes based on the hardness of hCLWE, with varying tradeoffs between decryption and security errors, and different discretization techniques. Our schemes yield a polynomial-time algorithm for solving hCLWE using a Statistical Zero-Knowledge oracle." acknowledgement: "We are grateful to Devika Sharma and Luca Trevisan for their insight and advice and to an anonymous reviewer for helpful comments.\r\n\r\nThis work was supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 101019547). The first author was additionally supported by RGC GRF CUHK14209920 and the fourth author was additionally supported by ISF grant No. 1399/17, project PROMETHEUS (Grant 780701), and Cariplo CRYPTONOMEX grant." alternative_title: - LNCS article_processing_charge: No author: - first_name: Andrej full_name: Bogdanov, Andrej last_name: Bogdanov - first_name: Miguel full_name: Cueto Noval, Miguel id: ffc563a3-f6e0-11ea-865d-e3cce03d17cc last_name: Cueto Noval orcid: 0000-0002-2505-4246 - first_name: Charlotte full_name: Hoffmann, Charlotte id: 0f78d746-dc7d-11ea-9b2f-83f92091afe7 last_name: Hoffmann orcid: 0000-0003-2027-5549 - first_name: Alon full_name: Rosen, Alon last_name: Rosen citation: ama: 'Bogdanov A, Cueto Noval M, Hoffmann C, Rosen A. Public-Key Encryption from Homogeneous CLWE. In: Theory of Cryptography. Vol 13748. Springer Nature; 2022:565-592. doi:10.1007/978-3-031-22365-5_20' apa: 'Bogdanov, A., Cueto Noval, M., Hoffmann, C., & Rosen, A. (2022). Public-Key Encryption from Homogeneous CLWE. In Theory of Cryptography (Vol. 13748, pp. 565–592). Chicago, IL, United States: Springer Nature. https://doi.org/10.1007/978-3-031-22365-5_20' chicago: Bogdanov, Andrej, Miguel Cueto Noval, Charlotte Hoffmann, and Alon Rosen. “Public-Key Encryption from Homogeneous CLWE.” In Theory of Cryptography, 13748:565–92. Springer Nature, 2022. https://doi.org/10.1007/978-3-031-22365-5_20. ieee: A. Bogdanov, M. Cueto Noval, C. Hoffmann, and A. Rosen, “Public-Key Encryption from Homogeneous CLWE,” in Theory of Cryptography, Chicago, IL, United States, 2022, vol. 13748, pp. 565–592. ista: 'Bogdanov A, Cueto Noval M, Hoffmann C, Rosen A. 2022. Public-Key Encryption from Homogeneous CLWE. Theory of Cryptography. TCC: Theory of Cryptography, LNCS, vol. 13748, 565–592.' mla: Bogdanov, Andrej, et al. “Public-Key Encryption from Homogeneous CLWE.” Theory of Cryptography, vol. 13748, Springer Nature, 2022, pp. 565–92, doi:10.1007/978-3-031-22365-5_20. short: A. Bogdanov, M. Cueto Noval, C. Hoffmann, A. Rosen, in:, Theory of Cryptography, Springer Nature, 2022, pp. 565–592. conference: end_date: 2022-11-10 location: Chicago, IL, United States name: 'TCC: Theory of Cryptography' start_date: 2022-11-07 corr_author: '1' date_created: 2023-02-05T23:01:00Z date_published: 2022-12-21T00:00:00Z date_updated: 2024-10-09T21:04:05Z day: '21' department: - _id: KrPi doi: 10.1007/978-3-031-22365-5_20 external_id: isi: - '000921318200020' fulldoi: https://doi.org/10.1007/978-3-031-22365-5_20 intvolume: ' 13748' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://eprint.iacr.org/2022/093 month: '12' oa: 1 oa_version: Preprint page: 565-592 publication: Theory of Cryptography publication_identifier: eissn: - 1611-3349 isbn: - '9783031223648' issn: - 0302-9743 publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: Public-Key Encryption from Homogeneous CLWE type: conference user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 13748 year: '2022' ... --- _id: '12522' abstract: - lang: eng text: This .zip File contains the transport data, the codes for the data analysis, the microscopy analysis and the codes for the theoretical simulations for "Majorana-like Coulomb spectroscopy in the absence of zero bias peaks" by M. Valentini, et. al. The transport data are saved with hdf5 file format. The files can be open with the log browser of Labber. article_processing_charge: No author: - first_name: Marco full_name: Valentini, Marco id: C0BB2FAC-D767-11E9-B658-BC13E6697425 last_name: Valentini - first_name: Pablo full_name: San-Jose, Pablo last_name: San-Jose - first_name: Jordi full_name: Arbiol, Jordi last_name: Arbiol - first_name: Sara full_name: Marti-Sanchez, Sara last_name: Marti-Sanchez - first_name: Marc full_name: Botifoll, Marc last_name: Botifoll citation: ama: Valentini M, San-Jose P, Arbiol J, Marti-Sanchez S, Botifoll M. Data for “Majorana-like Coulomb spectroscopy in the absence of zero bias peaks.” 2022. doi:10.15479/AT:ISTA:12102 apa: Valentini, M., San-Jose, P., Arbiol, J., Marti-Sanchez, S., & Botifoll, M. (2022). Data for “Majorana-like Coulomb spectroscopy in the absence of zero bias peaks.” Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:12102 chicago: Valentini, Marco, Pablo San-Jose, Jordi Arbiol, Sara Marti-Sanchez, and Marc Botifoll. “Data for ‘Majorana-like Coulomb Spectroscopy in the Absence of Zero Bias Peaks.’” Institute of Science and Technology Austria, 2022. https://doi.org/10.15479/AT:ISTA:12102. ieee: M. Valentini, P. San-Jose, J. Arbiol, S. Marti-Sanchez, and M. Botifoll, “Data for ‘Majorana-like Coulomb spectroscopy in the absence of zero bias peaks.’” Institute of Science and Technology Austria, 2022. ista: Valentini M, San-Jose P, Arbiol J, Marti-Sanchez S, Botifoll M. 2022. Data for ‘Majorana-like Coulomb spectroscopy in the absence of zero bias peaks’, Institute of Science and Technology Austria, 10.15479/AT:ISTA:12102. mla: Valentini, Marco, et al. Data for “Majorana-like Coulomb Spectroscopy in the Absence of Zero Bias Peaks.” Institute of Science and Technology Austria, 2022, doi:10.15479/AT:ISTA:12102. short: M. Valentini, P. San-Jose, J. Arbiol, S. Marti-Sanchez, M. Botifoll, (2022). contributor: - contributor_type: contact_person first_name: Marco id: C0BB2FAC-D767-11E9-B658-BC13E6697425 last_name: Valentini corr_author: '1' date_created: 2023-02-07T08:13:39Z date_published: 2022-09-25T00:00:00Z date_updated: 2026-04-07T13:27:22Z day: '25' ddc: - '530' department: - _id: GeKa doi: 10.15479/AT:ISTA:12102 file: - access_level: open_access checksum: 0dbd6327bf84c7e81b295c4bc9d12826 content_type: application/x-zip-compressed creator: dernst date_created: 2023-02-07T08:18:24Z date_updated: 2023-02-07T08:18:24Z file_id: '12523' file_name: Majorana_like.zip file_size: 3609122411 relation: main_file success: 1 file_date_updated: 2023-02-07T08:18:24Z fulldoi: https://doi.org/10.15479/AT:ISTA:12102 has_accepted_license: '1' month: '09' oa: 1 oa_version: Published Version publisher: Institute of Science and Technology Austria related_material: record: - id: '12118' relation: used_in_publication status: public - id: '13286' relation: used_in_publication status: public status: public title: Data for "Majorana-like Coulomb spectroscopy in the absence of zero bias peaks" tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: research_data user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2022' ... --- _id: '12529' abstract: - lang: eng text: "We consider turn-based stochastic 2-player games on graphs with ω-regular winning conditions. We provide a direct symbolic algorithm for solving such games when the winning condition is formulated as a Rabin condition. For a stochastic Rabin game with k pairs over a game graph with n vertices, our algorithm runs in O(nk+2k!) symbolic steps, which improves the state of the art.\r\nWe have implemented our symbolic algorithm, along with performance optimizations including parallellization and acceleration, in a BDD-based synthesis tool called Fairsyn. We demonstrate the superiority of Fairsyn compared to the state of the art on a set of synthetic benchmarks derived from the VLTS benchmark suite and on a control system benchmark from the literature. In our experiments, Fairsyn performed significantly faster with up to two orders of magnitude improvement in computation time." alternative_title: - LNCS article_processing_charge: No author: - first_name: Tamajit full_name: Banerjee, Tamajit last_name: Banerjee - first_name: Rupak full_name: Majumdar, Rupak last_name: Majumdar - first_name: Kaushik full_name: Mallik, Kaushik id: 0834ff3c-6d72-11ec-94e0-b5b0a4fb8598 last_name: Mallik orcid: 0000-0001-9864-7475 - first_name: Anne-Kathrin full_name: Schmuck, Anne-Kathrin last_name: Schmuck - first_name: Sadegh full_name: Soudjani, Sadegh last_name: Soudjani citation: ama: 'Banerjee T, Majumdar R, Mallik K, Schmuck A-K, Soudjani S. A direct symbolic algorithm for solving stochastic rabin games. In: 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems. Vol 13244. Springer Nature; 2022:81-98. doi:10.1007/978-3-030-99527-0_5' apa: 'Banerjee, T., Majumdar, R., Mallik, K., Schmuck, A.-K., & Soudjani, S. (2022). A direct symbolic algorithm for solving stochastic rabin games. In 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (Vol. 13244, pp. 81–98). Munich, Germany: Springer Nature. https://doi.org/10.1007/978-3-030-99527-0_5' chicago: Banerjee, Tamajit, Rupak Majumdar, Kaushik Mallik, Anne-Kathrin Schmuck, and Sadegh Soudjani. “A Direct Symbolic Algorithm for Solving Stochastic Rabin Games.” In 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, 13244:81–98. Springer Nature, 2022. https://doi.org/10.1007/978-3-030-99527-0_5. ieee: T. Banerjee, R. Majumdar, K. Mallik, A.-K. Schmuck, and S. Soudjani, “A direct symbolic algorithm for solving stochastic rabin games,” in 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, Munich, Germany, 2022, vol. 13244, pp. 81–98. ista: 'Banerjee T, Majumdar R, Mallik K, Schmuck A-K, Soudjani S. 2022. A direct symbolic algorithm for solving stochastic rabin games. 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems. TACAS: Tools and Algorithms for the Construction and Analysis of Systems, LNCS, vol. 13244, 81–98.' mla: Banerjee, Tamajit, et al. “A Direct Symbolic Algorithm for Solving Stochastic Rabin Games.” 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, vol. 13244, Springer Nature, 2022, pp. 81–98, doi:10.1007/978-3-030-99527-0_5. short: T. Banerjee, R. Majumdar, K. Mallik, A.-K. Schmuck, S. Soudjani, in:, 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, Springer Nature, 2022, pp. 81–98. conference: end_date: 2022-04-07 location: Munich, Germany name: 'TACAS: Tools and Algorithms for the Construction and Analysis of Systems' start_date: 2022-04-02 corr_author: '1' date_created: 2023-02-08T11:43:34Z date_published: 2022-03-29T00:00:00Z date_updated: 2024-10-09T21:04:10Z day: '29' doi: 10.1007/978-3-030-99527-0_5 extern: '1' fulldoi: https://doi.org/10.1007/978-3-030-99527-0_5 intvolume: ' 13244' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1007/978-3-030-99527-0_5 month: '03' oa: 1 oa_version: Published Version page: 81-98 publication: 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems publication_identifier: eisbn: - '9783030995270' publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: A direct symbolic algorithm for solving stochastic rabin games type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 13244 year: '2022' ... --- _id: '12530' abstract: - lang: eng text: We present BOCoSy, a tool for Bounded symbolic Output-feedback Controller Synthesis. Given a specification, BOCoSy synthesizes symbolic output-feedback controllers which interact with a given plant via a pre-defined finite symbolic interface. BOCoSy solves this problem by a new lazy abstraction-refinement technique which starts with a very coarse abstraction of the external trace semantics of the given plant and iteratively removes non-admissible behavior from this abstract model until a controller is found. BOCoSy steers the search for controllers towards small and concise state space representations by utilizing ideas from bounded synthesis. As a result, BOCoSy returns small and explainable controllers that are still powerful enough to solve the given synthesis problem. We show that BOCoSy is able to synthesize small, human readable symbolic controllers quickly on a set of benchmarks. article_processing_charge: No author: - first_name: Bernd full_name: Finkbeiner, Bernd last_name: Finkbeiner - first_name: Kaushik full_name: Mallik, Kaushik id: 0834ff3c-6d72-11ec-94e0-b5b0a4fb8598 last_name: Mallik orcid: 0000-0001-9864-7475 - first_name: Noemi full_name: Passing, Noemi last_name: Passing - first_name: Malte full_name: Schledjewski, Malte last_name: Schledjewski - first_name: Anne-Kathrin full_name: Schmuck, Anne-Kathrin last_name: Schmuck citation: ama: 'Finkbeiner B, Mallik K, Passing N, Schledjewski M, Schmuck A-K. BOCoSy: Small but powerful symbolic output-feedback control. In: 25th ACM International Conference on Hybrid Systems: Computation and Control. ACM; 2022:24:1-24:11. doi:10.1145/3501710.3519535' apa: 'Finkbeiner, B., Mallik, K., Passing, N., Schledjewski, M., & Schmuck, A.-K. (2022). BOCoSy: Small but powerful symbolic output-feedback control. In 25th ACM International Conference on Hybrid Systems: Computation and Control (p. 24:1-24:11). Milan, Italy: ACM. https://doi.org/10.1145/3501710.3519535' chicago: 'Finkbeiner, Bernd, Kaushik Mallik, Noemi Passing, Malte Schledjewski, and Anne-Kathrin Schmuck. “BOCoSy: Small but Powerful Symbolic Output-Feedback Control.” In 25th ACM International Conference on Hybrid Systems: Computation and Control, 24:1-24:11. ACM, 2022. https://doi.org/10.1145/3501710.3519535.' ieee: 'B. Finkbeiner, K. Mallik, N. Passing, M. Schledjewski, and A.-K. Schmuck, “BOCoSy: Small but powerful symbolic output-feedback control,” in 25th ACM International Conference on Hybrid Systems: Computation and Control, Milan, Italy, 2022, p. 24:1-24:11.' ista: 'Finkbeiner B, Mallik K, Passing N, Schledjewski M, Schmuck A-K. 2022. BOCoSy: Small but powerful symbolic output-feedback control. 25th ACM International Conference on Hybrid Systems: Computation and Control. HSCC: International Conference on Hybrid Systems Computation and Control, 24:1-24:11.' mla: 'Finkbeiner, Bernd, et al. “BOCoSy: Small but Powerful Symbolic Output-Feedback Control.” 25th ACM International Conference on Hybrid Systems: Computation and Control, ACM, 2022, p. 24:1-24:11, doi:10.1145/3501710.3519535.' short: 'B. Finkbeiner, K. Mallik, N. Passing, M. Schledjewski, A.-K. Schmuck, in:, 25th ACM International Conference on Hybrid Systems: Computation and Control, ACM, 2022, p. 24:1-24:11.' conference: end_date: 2022-05-06 location: Milan, Italy name: 'HSCC: International Conference on Hybrid Systems Computation and Control' start_date: 2022-05-04 date_created: 2023-02-08T11:43:50Z date_published: 2022-05-01T00:00:00Z date_updated: 2023-02-09T08:53:13Z day: '01' doi: 10.1145/3501710.3519535 extern: '1' fulldoi: https://doi.org/10.1145/3501710.3519535 language: - iso: eng month: '05' oa_version: None page: 24:1-24:11 publication: '25th ACM International Conference on Hybrid Systems: Computation and Control' publication_identifier: isbn: - '9781450391962' publication_status: published publisher: ACM quality_controlled: '1' scopus_import: '1' status: public title: 'BOCoSy: Small but powerful symbolic output-feedback control' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2022' ... --- _id: '12538' abstract: - lang: eng text: In this paper, we study the compression of a target two-layer neural network with N nodes into a compressed network with MIEEE Information Theory Workshop. 2022:588-593. doi:10.1109/ITW54588.2022.9965870 apa: 'Amani, M. H., Bombari, S., Mondelli, M., Pukdee, R., & Rini, S. (2022). Sharp asymptotics on the compression of two-layer neural networks. IEEE Information Theory Workshop. Mumbai, India: IEEE. https://doi.org/10.1109/ITW54588.2022.9965870' chicago: Amani, Mohammad Hossein, Simone Bombari, Marco Mondelli, Rattana Pukdee, and Stefano Rini. “Sharp Asymptotics on the Compression of Two-Layer Neural Networks.” IEEE Information Theory Workshop. IEEE, 2022. https://doi.org/10.1109/ITW54588.2022.9965870. ieee: M. H. Amani, S. Bombari, M. Mondelli, R. Pukdee, and S. Rini, “Sharp asymptotics on the compression of two-layer neural networks,” IEEE Information Theory Workshop. IEEE, pp. 588–593, 2022. ista: Amani MH, Bombari S, Mondelli M, Pukdee R, Rini S. 2022. Sharp asymptotics on the compression of two-layer neural networks. IEEE Information Theory Workshop., 588–593. mla: Amani, Mohammad Hossein, et al. “Sharp Asymptotics on the Compression of Two-Layer Neural Networks.” IEEE Information Theory Workshop, IEEE, 2022, pp. 588–93, doi:10.1109/ITW54588.2022.9965870. short: M.H. Amani, S. Bombari, M. Mondelli, R. Pukdee, S. Rini, IEEE Information Theory Workshop (2022) 588–593. conference: end_date: 2022-11-09 location: Mumbai, India name: 'ITW: Information Theory Workshop' start_date: 2022-11-01 date_created: 2023-02-10T13:47:56Z date_published: 2022-11-16T00:00:00Z date_updated: 2025-09-10T09:53:31Z day: '16' department: - _id: MaMo doi: 10.1109/ITW54588.2022.9965870 external_id: arxiv: - '2205.08199' isi: - '000904341100099' fulldoi: https://doi.org/10.1109/ITW54588.2022.9965870 isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: ' https://doi.org/10.48550/arXiv.2205.08199' month: '11' oa: 1 oa_version: Preprint page: 588-593 publication: IEEE Information Theory Workshop publication_identifier: isbn: - '9781665483414' publication_status: published publisher: IEEE quality_controlled: '1' scopus_import: '1' status: public title: Sharp asymptotics on the compression of two-layer neural networks type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 year: '2022' ... --- _id: '12540' abstract: - lang: eng text: We consider the problem of signal estimation in generalized linear models defined via rotationally invariant design matrices. Since these matrices can have an arbitrary spectral distribution, this model is well suited for capturing complex correlation structures which often arise in applications. We propose a novel family of approximate message passing (AMP) algorithms for signal estimation, and rigorously characterize their performance in the high-dimensional limit via a state evolution recursion. Our rotationally invariant AMP has complexity of the same order as the existing AMP derived under the restrictive assumption of a Gaussian design; our algorithm also recovers this existing AMP as a special case. Numerical results showcase a performance close to Vector AMP (which is conjectured to be Bayes-optimal in some settings), but obtained with a much lower complexity, as the proposed algorithm does not require a computationally expensive singular value decomposition. acknowledgement: The authors would like to thank the anonymous reviewers for their helpful comments. KK and MM were partially supported by the 2019 Lopez-Loreta Prize. article_number: '22' article_processing_charge: No author: - first_name: Ramji full_name: Venkataramanan, Ramji last_name: Venkataramanan - first_name: Kevin full_name: Kögler, Kevin id: 94ec913c-dc85-11ea-9058-e5051ab2428b last_name: Kögler - first_name: Marco full_name: Mondelli, Marco id: 27EB676C-8706-11E9-9510-7717E6697425 last_name: Mondelli orcid: 0000-0002-3242-7020 citation: ama: 'Venkataramanan R, Kögler K, Mondelli M. Estimation in rotationally invariant generalized linear models via approximate message passing. In: Proceedings of the 39th International Conference on Machine Learning. Vol 162. ML Research Press; 2022.' apa: 'Venkataramanan, R., Kögler, K., & Mondelli, M. (2022). Estimation in rotationally invariant generalized linear models via approximate message passing. In Proceedings of the 39th International Conference on Machine Learning (Vol. 162). Baltimore, MD, United States: ML Research Press.' chicago: Venkataramanan, Ramji, Kevin Kögler, and Marco Mondelli. “Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing.” In Proceedings of the 39th International Conference on Machine Learning, Vol. 162. ML Research Press, 2022. ieee: R. Venkataramanan, K. Kögler, and M. Mondelli, “Estimation in rotationally invariant generalized linear models via approximate message passing,” in Proceedings of the 39th International Conference on Machine Learning, Baltimore, MD, United States, 2022, vol. 162. ista: 'Venkataramanan R, Kögler K, Mondelli M. 2022. Estimation in rotationally invariant generalized linear models via approximate message passing. Proceedings of the 39th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 162, 22.' mla: Venkataramanan, Ramji, et al. “Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing.” Proceedings of the 39th International Conference on Machine Learning, vol. 162, 22, ML Research Press, 2022. short: R. Venkataramanan, K. Kögler, M. Mondelli, in:, Proceedings of the 39th International Conference on Machine Learning, ML Research Press, 2022. conference: end_date: 2022-07-23 location: Baltimore, MD, United States name: 'ICML: International Conference on Machine Learning' start_date: 2022-07-17 corr_author: '1' date_created: 2023-02-10T13:49:04Z date_published: 2022-01-01T00:00:00Z date_updated: 2025-04-15T07:50:16Z ddc: - '000' department: - _id: MaMo file: - access_level: open_access checksum: 67436eb0a660789514cdf9db79e84683 content_type: application/pdf creator: dernst date_created: 2023-02-13T10:53:11Z date_updated: 2023-02-13T10:53:11Z file_id: '12547' file_name: 2022_PMLR_Venkataramanan.pdf file_size: 2341343 relation: main_file success: 1 file_date_updated: 2023-02-13T10:53:11Z has_accepted_license: '1' intvolume: ' 162' language: - iso: eng oa: 1 oa_version: Published Version project: - _id: 059876FA-7A3F-11EA-A408-12923DDC885E name: Prix Lopez-Loretta 2019 - Marco Mondelli publication: Proceedings of the 39th International Conference on Machine Learning publication_status: published publisher: ML Research Press quality_controlled: '1' status: public title: Estimation in rotationally invariant generalized linear models via approximate message passing type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 162 year: '2022' ... --- _id: '12568' abstract: - lang: eng text: We treat the problem of risk-aware control for stochastic shortest path (SSP) on Markov decision processes (MDP). Typically, expectation is considered for SSP, which however is oblivious to the incurred risk. We present an alternative view, instead optimizing conditional value-at-risk (CVaR), an established risk measure. We treat both Markov chains as well as MDP and introduce, through novel insights, two algorithms, based on linear programming and value iteration, respectively. Both algorithms offer precise and provably correct solutions. Evaluation of our prototype implementation shows that risk-aware control is feasible on several moderately sized models. article_processing_charge: No arxiv: 1 author: - first_name: Tobias full_name: Meggendorfer, Tobias id: b21b0c15-30a2-11eb-80dc-f13ca25802e1 last_name: Meggendorfer orcid: 0000-0002-1712-2165 citation: ama: 'Meggendorfer T. Risk-aware stochastic shortest path. In: Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022. Vol 36. Association for the Advancement of Artificial Intelligence; 2022:9858-9867. doi:10.1609/aaai.v36i9.21222' apa: 'Meggendorfer, T. (2022). Risk-aware stochastic shortest path. In Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022 (Vol. 36, pp. 9858–9867). Virtual: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v36i9.21222' chicago: Meggendorfer, Tobias. “Risk-Aware Stochastic Shortest Path.” In Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022, 36:9858–67. Association for the Advancement of Artificial Intelligence, 2022. https://doi.org/10.1609/aaai.v36i9.21222. ieee: T. Meggendorfer, “Risk-aware stochastic shortest path,” in Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022, Virtual, 2022, vol. 36, no. 9, pp. 9858–9867. ista: Meggendorfer T. 2022. Risk-aware stochastic shortest path. Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022. Conference on Artificial Intelligence vol. 36, 9858–9867. mla: Meggendorfer, Tobias. “Risk-Aware Stochastic Shortest Path.” Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022, vol. 36, no. 9, Association for the Advancement of Artificial Intelligence, 2022, pp. 9858–67, doi:10.1609/aaai.v36i9.21222. short: T. Meggendorfer, in:, Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022, Association for the Advancement of Artificial Intelligence, 2022, pp. 9858–9867. conference: end_date: 2022-03-01 location: Virtual name: Conference on Artificial Intelligence start_date: 2022-02-22 corr_author: '1' date_created: 2023-02-19T23:00:56Z date_published: 2022-06-28T00:00:00Z date_updated: 2024-10-09T21:04:32Z day: '28' department: - _id: KrCh doi: 10.1609/aaai.v36i9.21222 external_id: arxiv: - '2203.01640' fulldoi: https://doi.org/10.1609/aaai.v36i9.21222 intvolume: ' 36' issue: '9' language: - iso: eng main_file_link: - open_access: '1' url: ' https://doi.org/10.48550/arXiv.2203.01640' month: '06' oa: 1 oa_version: Preprint page: 9858-9867 publication: Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022 publication_identifier: eissn: - 2374-3468 isbn: - '1577358767' publication_status: published publisher: Association for the Advancement of Artificial Intelligence quality_controlled: '1' scopus_import: '1' status: public title: Risk-aware stochastic shortest path type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 36 year: '2022' ... --- _id: '12574' abstract: - lang: eng text: Melt from supraglacial ice cliffs is an important contributor to the mass loss of debris-covered glaciers. However, ice cliff contribution is difficult to quantify as they are highly dynamic features, and the paucity of observations of melt rates and their variability leads to large modelling uncertainties. We quantify monsoon season melt and 3D evolution of four ice cliffs over two debris-covered glaciers in High Mountain Asia (Langtang Glacier, Nepal, and 24K Glacier, China) at very high resolution using terrestrial photogrammetry applied to imagery captured from time-lapse cameras installed on lateral moraines. We derive weekly flow-corrected digital elevation models (DEMs) of the glacier surface with a maximum vertical bias of ±0.2 m for Langtang Glacier and ±0.05 m for 24K Glacier and use change detection to determine distributed melt rates at the surfaces of the ice cliffs throughout the study period. We compare the measured melt patterns with those derived from a 3D energy balance model to derive the contribution of the main energy fluxes. We find that ice cliff melt varies considerably throughout the melt season, with maximum melt rates of 5 to 8 cm d−1, and their average melt rates are 11–14 (Langtang) and 4.5 (24K) times higher than the surrounding debris-covered ice. Our results highlight the influence of redistributed supraglacial debris on cliff melt. At both sites, ice cliff albedo is influenced by the presence of thin debris at the ice cliff surface, which is largely controlled on 24K Glacier by liquid precipitation events that wash away this debris. Slightly thicker or patchy debris reduces melt by 1–3 cm d−1 at all sites. Ultimately, our observations show a strong spatio-temporal variability in cliff area at each site, which is controlled by supraglacial streams and ponds and englacial cavities that promote debris slope destabilisation and the lateral expansion of the cliffs. These findings highlight the need to better represent processes of debris redistribution in ice cliff models, to in turn improve estimates of ice cliff contribution to glacier melt and the long-term geomorphological evolution of debris-covered glacier surfaces. article_processing_charge: No article_type: original author: - first_name: Marin full_name: Kneib, Marin last_name: Kneib - first_name: Evan S. full_name: Miles, Evan S. last_name: Miles - first_name: Pascal full_name: Buri, Pascal last_name: Buri - first_name: Stefan full_name: Fugger, Stefan last_name: Fugger - first_name: Michael full_name: McCarthy, Michael last_name: McCarthy - first_name: Thomas E. full_name: Shaw, Thomas E. last_name: Shaw - first_name: Zhao full_name: Chuanxi, Zhao last_name: Chuanxi - first_name: Martin full_name: Truffer, Martin last_name: Truffer - first_name: Matthew J. full_name: Westoby, Matthew J. last_name: Westoby - first_name: Wei full_name: Yang, Wei last_name: Yang - first_name: Francesca full_name: Pellicciotti, Francesca id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70 last_name: Pellicciotti citation: ama: Kneib M, Miles ES, Buri P, et al. Sub-seasonal variability of supraglacial ice cliff melt rates and associated processes from time-lapse photogrammetry. The Cryosphere. 2022;16(11):4701-4725. doi:10.5194/tc-16-4701-2022 apa: Kneib, M., Miles, E. S., Buri, P., Fugger, S., McCarthy, M., Shaw, T. E., … Pellicciotti, F. (2022). Sub-seasonal variability of supraglacial ice cliff melt rates and associated processes from time-lapse photogrammetry. The Cryosphere. Copernicus Publications. https://doi.org/10.5194/tc-16-4701-2022 chicago: Kneib, Marin, Evan S. Miles, Pascal Buri, Stefan Fugger, Michael McCarthy, Thomas E. Shaw, Zhao Chuanxi, et al. “Sub-Seasonal Variability of Supraglacial Ice Cliff Melt Rates and Associated Processes from Time-Lapse Photogrammetry.” The Cryosphere. Copernicus Publications, 2022. https://doi.org/10.5194/tc-16-4701-2022. ieee: M. Kneib et al., “Sub-seasonal variability of supraglacial ice cliff melt rates and associated processes from time-lapse photogrammetry,” The Cryosphere, vol. 16, no. 11. Copernicus Publications, pp. 4701–4725, 2022. ista: Kneib M, Miles ES, Buri P, Fugger S, McCarthy M, Shaw TE, Chuanxi Z, Truffer M, Westoby MJ, Yang W, Pellicciotti F. 2022. Sub-seasonal variability of supraglacial ice cliff melt rates and associated processes from time-lapse photogrammetry. The Cryosphere. 16(11), 4701–4725. mla: Kneib, Marin, et al. “Sub-Seasonal Variability of Supraglacial Ice Cliff Melt Rates and Associated Processes from Time-Lapse Photogrammetry.” The Cryosphere, vol. 16, no. 11, Copernicus Publications, 2022, pp. 4701–25, doi:10.5194/tc-16-4701-2022. short: M. Kneib, E.S. Miles, P. Buri, S. Fugger, M. McCarthy, T.E. Shaw, Z. Chuanxi, M. Truffer, M.J. Westoby, W. Yang, F. Pellicciotti, The Cryosphere 16 (2022) 4701–4725. date_created: 2023-02-20T08:09:42Z date_published: 2022-11-11T00:00:00Z date_updated: 2023-02-28T13:59:22Z day: '11' doi: 10.5194/tc-16-4701-2022 extern: '1' fulldoi: https://doi.org/10.5194/tc-16-4701-2022 intvolume: ' 16' issue: '11' keyword: - Earth-Surface Processes - Water Science and Technology language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.5194/tc-16-4701-2022 month: '11' oa: 1 oa_version: Published Version page: 4701-4725 publication: The Cryosphere publication_identifier: issn: - 1994-0424 publication_status: published publisher: Copernicus Publications quality_controlled: '1' scopus_import: '1' status: public title: Sub-seasonal variability of supraglacial ice cliff melt rates and associated processes from time-lapse photogrammetry type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 16 year: '2022' ... --- _id: '12575' abstract: - lang: eng text: The current Chilean megadrought has led to acute water shortages in central Chile since 2010. Glaciers have provided vital fresh water to the region's rivers, but the quantity, timing and sustainability of that provision remain unclear. Here we combine in-situ, remote sensing and climate reanalysis data to show that from 2010 to 2018 during the megadrought, unsustainable imbalance ablation of glaciers (ablation not balanced by new snowfall) strongly buffered the late-summer discharge of the Maipo River, a primary source of water to Santiago. If there had been no glaciers, water availability would have been reduced from December through May, with a 31 ± 19% decrease during March. Our results indicate that while the annual contributions of imbalance ablation to river discharge during the megadrought have been small compared to those from precipitation and sustainable balance ablation, they have nevertheless been a substantial input to a hydrological system that was already experiencing high water stress. The water-equivalent volume of imbalance ablation generated in the Maipo Basin between 2010 and 2018 was 740 × 106 m3 (19 ± 12 mm yr−1), approximately 3.4 times the capacity of the basin's El Yeso Reservoir. This is equivalent to 14% of Santiago's potable water use in that time, while total glacier ablation was equivalent to 59%. We show that glacier retreat will exacerbate river discharge deficits and further jeopardize water availability in central Chile if precipitation deficits endure, and conjecture that these effects will be amplified by climatic warming. article_number: e2022EF002852 article_processing_charge: No article_type: original author: - first_name: Michael full_name: McCarthy, Michael last_name: McCarthy - first_name: Fabienne full_name: Meier, Fabienne last_name: Meier - first_name: Simone full_name: Fatichi, Simone last_name: Fatichi - first_name: Benjamin D. full_name: Stocker, Benjamin D. last_name: Stocker - first_name: Thomas E. full_name: Shaw, Thomas E. last_name: Shaw - first_name: Evan full_name: Miles, Evan last_name: Miles - first_name: Inés full_name: Dussaillant, Inés last_name: Dussaillant - first_name: Francesca full_name: Pellicciotti, Francesca id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70 last_name: Pellicciotti citation: ama: McCarthy M, Meier F, Fatichi S, et al. Glacier contributions to river discharge during the current Chilean megadrought. Earth’s Future. 2022;10(10). doi:10.1029/2022ef002852 apa: McCarthy, M., Meier, F., Fatichi, S., Stocker, B. D., Shaw, T. E., Miles, E., … Pellicciotti, F. (2022). Glacier contributions to river discharge during the current Chilean megadrought. Earth’s Future. American Geophysical Union. https://doi.org/10.1029/2022ef002852 chicago: McCarthy, Michael, Fabienne Meier, Simone Fatichi, Benjamin D. Stocker, Thomas E. Shaw, Evan Miles, Inés Dussaillant, and Francesca Pellicciotti. “Glacier Contributions to River Discharge during the Current Chilean Megadrought.” Earth’s Future. American Geophysical Union, 2022. https://doi.org/10.1029/2022ef002852. ieee: M. McCarthy et al., “Glacier contributions to river discharge during the current Chilean megadrought,” Earth’s Future, vol. 10, no. 10. American Geophysical Union, 2022. ista: McCarthy M, Meier F, Fatichi S, Stocker BD, Shaw TE, Miles E, Dussaillant I, Pellicciotti F. 2022. Glacier contributions to river discharge during the current Chilean megadrought. Earth’s Future. 10(10), e2022EF002852. mla: McCarthy, Michael, et al. “Glacier Contributions to River Discharge during the Current Chilean Megadrought.” Earth’s Future, vol. 10, no. 10, e2022EF002852, American Geophysical Union, 2022, doi:10.1029/2022ef002852. short: M. McCarthy, F. Meier, S. Fatichi, B.D. Stocker, T.E. Shaw, E. Miles, I. Dussaillant, F. Pellicciotti, Earth’s Future 10 (2022). date_created: 2023-02-20T08:09:49Z date_published: 2022-10-01T00:00:00Z date_updated: 2023-02-28T13:55:32Z day: '01' doi: 10.1029/2022ef002852 extern: '1' fulldoi: https://doi.org/10.1029/2022ef002852 intvolume: ' 10' issue: '10' keyword: - Earth and Planetary Sciences (miscellaneous) - General Environmental Science language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1029/2022EF002852 month: '10' oa: 1 oa_version: Published Version publication: Earth's Future publication_identifier: issn: - 2328-4277 publication_status: published publisher: American Geophysical Union quality_controlled: '1' scopus_import: '1' status: public title: Glacier contributions to river discharge during the current Chilean megadrought type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 10 year: '2022' ... --- _id: '12576' abstract: - lang: eng text: Glacier health across High Mountain Asia (HMA) is highly heterogeneous and strongly governed by regional climate, which is variably influenced by monsoon dynamics and the westerlies. We explore four decades of glacier energy and mass balance at three climatically distinct sites across HMA by utilising a detailed land surface model driven by bias-corrected Weather Research and Forecasting meteorological forcing. All three glaciers have experienced long-term mass losses (ranging from −0.04 ± 0.09 to −0.59 ± 0.20 m w.e. a−1) consistent with widespread warming across the region. However, complex and contrasting responses of glacier energy and mass balance to the patterns of the Indian Summer Monsoon were evident, largely driven by the role snowfall timing, amount and phase. A later monsoon onset generates less total snowfall to the glacier in the southeastern Tibetan Plateau during May–June, augmenting net shortwave radiation and affecting annual mass balance (−0.5 m w.e. on average compared to early onset years). Conversely, timing of the monsoon’s arrival has limited impact for the Nepalese Himalaya which is more strongly governed by the temperature and snowfall amount during the core monsoon season. In the arid central Tibetan Plateau, a later monsoon arrival results in a 40 mm (58%) increase of May–June snowfall on average compared to early onset years, likely driven by the greater interaction of westerly storm events. Meanwhile, a late monsoon cessation at this site sees an average 200 mm (192%) increase in late summer precipitation due to monsoonal storms. A trend towards weaker intensity monsoon conditions in recent decades, combined with long-term warming patterns, has produced predominantly negative glacier mass balances for all sites (up to 1 m w.e. more mass loss in the Nepalese Himalaya compared to strong monsoon intensity years) but sub-regional variability in monsoon timing can additionally complicate this response. article_number: '104001' article_processing_charge: No article_type: letter_note author: - first_name: T E full_name: Shaw, T E last_name: Shaw - first_name: E S full_name: Miles, E S last_name: Miles - first_name: D full_name: Chen, D last_name: Chen - first_name: A full_name: Jouberton, A last_name: Jouberton - first_name: M full_name: Kneib, M last_name: Kneib - first_name: S full_name: Fugger, S last_name: Fugger - first_name: T full_name: Ou, T last_name: Ou - first_name: H-W full_name: Lai, H-W last_name: Lai - first_name: K full_name: Fujita, K last_name: Fujita - first_name: W full_name: Yang, W last_name: Yang - first_name: S full_name: Fatichi, S last_name: Fatichi - first_name: Francesca full_name: Pellicciotti, Francesca id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70 last_name: Pellicciotti citation: ama: Shaw TE, Miles ES, Chen D, et al. Multi-decadal monsoon characteristics and glacier response in High Mountain Asia. Environmental Research Letters. 2022;17(10). doi:10.1088/1748-9326/ac9008 apa: Shaw, T. E., Miles, E. S., Chen, D., Jouberton, A., Kneib, M., Fugger, S., … Pellicciotti, F. (2022). Multi-decadal monsoon characteristics and glacier response in High Mountain Asia. Environmental Research Letters. IOP Publishing. https://doi.org/10.1088/1748-9326/ac9008 chicago: Shaw, T E, E S Miles, D Chen, A Jouberton, M Kneib, S Fugger, T Ou, et al. “Multi-Decadal Monsoon Characteristics and Glacier Response in High Mountain Asia.” Environmental Research Letters. IOP Publishing, 2022. https://doi.org/10.1088/1748-9326/ac9008. ieee: T. E. Shaw et al., “Multi-decadal monsoon characteristics and glacier response in High Mountain Asia,” Environmental Research Letters, vol. 17, no. 10. IOP Publishing, 2022. ista: Shaw TE, Miles ES, Chen D, Jouberton A, Kneib M, Fugger S, Ou T, Lai H-W, Fujita K, Yang W, Fatichi S, Pellicciotti F. 2022. Multi-decadal monsoon characteristics and glacier response in High Mountain Asia. Environmental Research Letters. 17(10), 104001. mla: Shaw, T. E., et al. “Multi-Decadal Monsoon Characteristics and Glacier Response in High Mountain Asia.” Environmental Research Letters, vol. 17, no. 10, 104001, IOP Publishing, 2022, doi:10.1088/1748-9326/ac9008. short: T.E. Shaw, E.S. Miles, D. Chen, A. Jouberton, M. Kneib, S. Fugger, T. Ou, H.-W. Lai, K. Fujita, W. Yang, S. Fatichi, F. Pellicciotti, Environmental Research Letters 17 (2022). date_created: 2023-02-20T08:09:56Z date_published: 2022-09-16T00:00:00Z date_updated: 2023-02-28T13:53:16Z day: '16' doi: 10.1088/1748-9326/ac9008 extern: '1' fulldoi: https://doi.org/10.1088/1748-9326/ac9008 intvolume: ' 17' issue: '10' keyword: - Public Health - Environmental and Occupational Health - General Environmental Science - Renewable Energy - Sustainability and the Environment language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1088/1748-9326/ac9008 month: '09' oa: 1 oa_version: Published Version publication: Environmental Research Letters publication_identifier: issn: - 1748-9326 publication_status: published publisher: IOP Publishing quality_controlled: '1' scopus_import: '1' status: public title: Multi-decadal monsoon characteristics and glacier response in High Mountain Asia type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 17 year: '2022' ...