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5954 Publications

2024 | Published | Journal Article | IST-REx-ID: 18656 | OA
Cipolloni, G., Erdös, L., & Henheik, S. J. (2024). Out-of-time-ordered correlators for Wigner matrices. Advances in Theoretical and Mathematical Physics. International Press. https://doi.org/10.4310/ATMP.241031013250
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2024 | Published | Journal Article | IST-REx-ID: 17407 | OA
Zu, M., & Goodrich, C. P. (2024). Designing athermal disordered solids with automatic differentiation. Communications Materials. Springer Nature. https://doi.org/10.1038/s43246-024-00583-4
[Published Version] View | Files available | DOI | arXiv
 
2024 | Published | Journal Article | IST-REx-ID: 14980 | OA
Agafonova, S., Mishra, U., Diorico, F. R., & Hosten, O. (2024). Zigzag optical cavity for sensing and controlling torsional motion. Physical Review Research. American Physical Society. https://doi.org/10.1103/physrevresearch.6.013141
[Published Version] View | Files available | DOI | arXiv
 
2024 | Published | Journal Article | IST-REx-ID: 18108 | OA
Hausel, T. (2024). Commutative avatars of representations of semisimple Lie groups. Proceedings of the National Academy of Sciences of the United States of America. National Academy of Sciences. https://doi.org/10.1073/pnas.2319341121
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 
2024 | Published | Journal Article | IST-REx-ID: 17187 | OA
Cheung, G. T., Streicher, C., & Hippenmeyer, S. (2024). Protocol for quantitative reconstruction of cell lineage using mosaic analysis with double markers in mice. STAR Protocols. Elsevier. https://doi.org/10.1016/j.xpro.2024.103157
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 
2024 | Published | Journal Article | IST-REx-ID: 17232 | OA
Cheung, G. T., Pauler, F., Koppensteiner, P., & Hippenmeyer, S. (2024). Protocol for mapping cell lineage and cell-type identity of clonally-related cells in situ using MADM-CloneSeq. STAR Protocols. Elsevier. https://doi.org/10.1016/j.xpro.2024.103168
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 
2024 | Published | Journal Article | IST-REx-ID: 14886 | OA
Lorenc, D., & Alpichshev, Z. (2024). Dispersive effects in ultrafast nonlinear phenomena: The case of optical Kerr effect. Physical Review Research. American Physical Society. https://doi.org/10.1103/PhysRevResearch.6.013042
[Published Version] View | Files available | DOI
 
2024 | Published | Conference Paper | IST-REx-ID: 17456 | OA
Markov, I., Alimohammadi, K., Frantar, E., & Alistarh, D.-A. (2024). L-GreCo: Layerwise-adaptive gradient compression for efficient data-parallel deep learning. In P. Gibbons, G. Pekhimenko, & C. De Sa (Eds.), Proceedings of Machine Learning and Systems (Vol. 6). Athens, Greece: Association for Computing Machinery.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2024 | Published | Thesis | IST-REx-ID: 15094 | OA
Cultrera di Montesano, S. (2024). Persistence and Morse theory for discrete geometric structures. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:15094
[Published Version] View | Files available | DOI
 
2024 | Published | Journal Article | IST-REx-ID: 13182 | OA
Biswas, R., Cultrera di Montesano, S., Edelsbrunner, H., & Saghafian, M. (2024). Geometric characterization of the persistence of 1D maps. Journal of Applied and Computational Topology. Springer Nature. https://doi.org/10.1007/s41468-023-00126-9
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 
2024 | Published | Journal Article | IST-REx-ID: 15380 | OA
Biswas, R., Cultrera di Montesano, S., Edelsbrunner, H., & Saghafian, M. (2024). Depth in arrangements: Dehn–Sommerville–Euler relations with applications. Journal of Applied and Computational Topology. Springer Nature. https://doi.org/10.1007/s41468-024-00173-w
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 
2024 | Published | Conference Paper | IST-REx-ID: 15093 | OA
Cultrera di Montesano, S., Edelsbrunner, H., Henzinger, M., & Ost, L. (2024). Dynamically maintaining the persistent homology of time series. In D. P. Woodruff (Ed.), Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) (pp. 243–295). Alexandria, VA, USA: Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611977912.11
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2024 | Draft | Preprint | IST-REx-ID: 15091 | OA
Cultrera di Montesano, S., Draganov, O., Edelsbrunner, H., & Saghafian, M. (n.d.). Chromatic alpha complexes. arXiv. https://doi.org/10.48550/arXiv.2212.03128
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 19010 | OA
Yao, D., Rancati, D., Cadei, R., Fumero, M., & Locatello, F. (2024). Unifying causal representation learning with the invariance principle. In 38th Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.
[Published Version] View | Files available | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 18890 | OA
Beaglehole, D., Súkeník, P., Mondelli, M., & Belkin, M. (2024). Average gradient outer product as a mechanism for deep neural collapse. In 38th Annual Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 19007 | OA
Kori, A., Locatello, F., Santhirasekaram, A., Toni, F., Glocker, B., & De Sousa Ribeiro, F. (2024). Identifiable object-centric representation learning via probabilistic slot attention. In 38th Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.
[Published Version] View | Files available | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 19518 | OA
Wu, D., Modoranu, I.-V., Safaryan, M., Kuznedelev, D., & Alistarh, D.-A. (2024). The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information. In 38th Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 18875 | OA
Kalinin, N., & Lampert, C. (2024). Banded square root matrix factorization for differentially private model training. In 38th Annual Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.
[Published Version] View | Files available | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 19512 | OA
Andersson, J. D., Henzinger, M., Pagh, R., Steiner, T. A., & Upadhyay, J. (2024). Continual counting with gradual privacy expiration. In 38th Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 19515 | OA
Fumero, M., Pegoraro, M., Maiorca, V., Locatello, F., & Rodolà, E. (2024). Latent functional maps: A spectral framework for representation alignment. In 38th Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.
[Preprint] View | Download Preprint (ext.) | arXiv
 

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