@inproceedings{18240,
  abstract     = {Mechanical image stabilization using actuated gimbals enables capturing long-exposure shots without suffering from blur due to camera motion. These devices, however, are often physically cumbersome and expensive, limiting their widespread use. In this work, we propose to digitally emulate a mechanically stabilized system from the input of a fast unstabilized camera. To exploit the trade-off between motion blur at long exposures and low SNR at short exposures, we train a CNN that estimates a sharp high-SNR image by aggregating a burst of noisy short-exposure frames, related by unknown motion. We further suggest learning the burst’s exposure times in an end-to-end manner, thus balancing the noise and blur across the frames. We demonstrate this method’s advantage over the traditional approach of deblurring a single image or denoising a fixed-exposure burst on both synthetic and real data.},
  author       = {Dahary, Omer and Jacoby, Matan and Bronstein, Alexander},
  booktitle    = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  location     = {Nashville, TN, United States},
  publisher    = {Institute of Electrical and Electronics Engineers},
  title        = {{Digital gimbal: End-to-end deep image stabilization with learnable exposure times}},
  doi          = {10.1109/cvpr46437.2021.01176},
  volume       = {38},
  year         = {2021},
}

@inproceedings{18241,
  abstract     = {Multiple-input multiple-output (MIMO) radar is one of the leading depth sensing modalities. However, the usage of multiple receive channels lead to relative high costs and prevent the penetration of MIMOs in many areas such as the automotive industry. Over the last years, few studies concentrated on designing reduced measurement schemes and image reconstruction schemes for MIMO radars, however these problems have been so far addressed separately. On the other hand, recent works in optical computational imaging have demonstrated growing success of simultaneous learning-based design of the acquisition and reconstruction schemes, manifesting significant improvement in the reconstruction quality. Inspired by these successes, in this work, we propose to learn MIMO acquisition parameters in the form of receive (Rx) antenna elements locations jointly with an image neural-network based reconstruction. To this end, we propose an algorithm for training the combined acquisition-reconstruction pipeline end-to-end in a differentiable way. We demonstrate the significance of using our learned acquisition parameters with and without the neural-network reconstruction. Code and datasets will be released upon publication.},
  author       = {Weiss, Tomer and Peretz, Nissim and Vedula, Sanketh and Feuer, Arie and Bronstein, Alexander},
  booktitle    = {31st International Workshop on Machine Learning for Signal Processing},
  location     = {Gold Coast, Australia},
  publisher    = {Institute of Electrical and Electronics Engineers},
  title        = {{Joint optimization of system design and reconstruction in MIMO radar imaging}},
  doi          = {10.1109/mlsp52302.2021.9596168},
  volume       = {4},
  year         = {2021},
}

@inbook{18242,
  abstract     = {Fiber tractography is an important tool of computational neuroscience that enables reconstructing the spatial connectivity and organization of white matter of the brain. Fiber tractography takes advantage of diffusion Magnetic Resonance Imaging (dMRI) which allows measuring the apparent diffusivity of cerebral water along different spatial directions. Unfortunately, collecting such data comes at the price of reduced spatial resolution and substantially elevated acquisition times, which limits the clinical applicability of dMRI. This problem has been thus far addressed using two principal strategies. Most of the efforts have been extended towards improving the quality of signal estimation for any, yet fixed sampling scheme (defined through the choice of diffusion-encoding gradients). On the other hand, optimization over the sampling scheme has also proven to be effective. Inspired by the previous results, the present work consolidates the above strategies into a unified estimation framework, in which the optimization is carried out with respect to both estimation model and sampling design concurrently. The proposed solution offers substantial improvements in the quality of signal estimation as well as the accuracy of ensuing analysis by means of fiber tractography. While proving the optimality of the learned estimation models would probably need more extensive evaluation, we nevertheless claim that the learned sampling schemes can be of immediate use, offering a way to improve the dMRI analysis without the necessity of deploying the neural network used for their estimation. We present a comprehensive comparative analysis based on the Human Connectome Project data. Code and learned sampling designs available at https://github.com/tomer196/Learned_dMRI.},
  author       = {Weiss, Tomer and Vedula, Sanketh and Senouf, Ortal and Michailovich, Oleg and Bronstein, Alexander},
  booktitle    = {Computational Diffusion MRI},
  editor       = {Gyori, Noemi and Hutter, Jana and Nath, Vishwesh and Palombo, Marco and Pizzolato, Marco and Zhang, Fan},
  isbn         = {9783030730178},
  issn         = {1612-3786},
  location     = {Lima, Peru/Virtual},
  pages        = {13--28},
  publisher    = {Springer Nature},
  title        = {{Towards learned optimal q-space sampling in diffusion MRI}},
  doi          = {10.1007/978-3-030-73018-5_2},
  year         = {2021},
}

@inproceedings{18243,
  abstract     = {What is the best way to match the nodes of two graphs? This graph alignment problem generalizes graph isomorphism and arises in applications from social network analysis to bioinformatics. Existing solutions either require auxiliary information such as node attributes, or provide a single-scale view of the graph by translating the problem into aligning node embeddings.

In this paper, we transfer the shape-analysis concept of functional maps from the continuous to the discrete case, and treat the graph alignment problem as a special case of the problem of finding a mapping between functions on graphs. We present GRASP, a method that captures multiscale structural characteristics from the eigenvectors of the graph’s Laplacian and uses this information to align two graphs.Our experimental study, featuring noise levels higher than anything used in previous studies, shows that GRASP outperforms state-of-the-art methods for graph alignment across noise levels and graph types.},
  author       = {Hermanns, Judith and Tsitsulin, Anton and Munkhoeva, Marina and Bronstein, Alexander and Mottin, Davide and Karras, Panagiotis},
  booktitle    = {International Joint Conference on Asia-Pacific Web and Web-Age Information Management},
  isbn         = {9783030858957},
  issn         = {0302-9743},
  location     = {Guangzhou, China},
  number       = {Part I},
  pages        = {44 -- 52},
  publisher    = {Springer Nature},
  title        = {{GRASP: Graph alignment through spectral signatures}},
  doi          = {10.1007/978-3-030-85896-4_4},
  volume       = {12858},
  year         = {2021},
}

@inproceedings{18244,
  abstract     = {Some face recognition methods are designed to utilize geometric information extracted from depth sensors to overcome the weaknesses of single-image based recognition technologies. However, the accurate acquisition of the depth profile is an expensive and challenging process. Here, we introduce a novel method that learns to recognize faces from stereo camera systems without the need to explicitly compute the facial surface or depth map. The raw face stereo images along with the location in the image from which the face is extracted allow the proposed CNN to improve the recognition task while avoiding the need to explicitly handle the geometric structure of the face. This way, we keep the simplicity and cost efficiency of identity authentication from a single image, while enjoying the benefits of geometric data without explicitly reconstructing it. We demonstrate that the suggested method outperforms both existing single-image and explicit depth based methods on largescale benchmarks, and even capable of recognize spoofing attacks. We also provide an ablation study that shows that the suggested method uses the face locations in the left and right images to encode informative features that improve the overall performance.},
  author       = {Livne, Amir and Aviv, Ziv and Grofit, Shahaf and Bronstein, Alexander and Kimmel, Ron},
  booktitle    = {2020 International Conference on 3D Vision (3DV)},
  isbn         = {9781728181295},
  issn         = {2475-7888},
  location     = {Fukuoka, Japan},
  publisher    = {IEEE},
  title        = {{Do we need depth in state-uf-the-art face authentication?}},
  doi          = {10.1109/3dv50981.2020.00099},
  year         = {2021},
}

@article{22063,
  abstract     = {We consider two discrete completely integrable evolutions: the Toda Lattice and the Ablowitz–Ladik system. The principal thrust of the paper is the development of microscopic conservation laws that witness the conservation of the perturbation determinant under these dynamics. In this way, we obtain discrete analogues of objects that we found essential in our recent analyses of KdV, NLS, and mKdV. In concert with this, we revisit the classical topic of microscopic conservation laws attendant to the (renormalized) trace of the Green’s function.},
  author       = {Harrop-Griffiths, Benjamin and Killip, Rowan and Visan, Monica},
  issn         = {1436-5081},
  journal      = {Monatshefte für Mathematik},
  number       = {3},
  pages        = {477--504},
  publisher    = {Springer Nature},
  title        = {{Microscopic conservation laws for integrable lattice models}},
  doi          = {10.1007/s00605-021-01529-5},
  volume       = {196},
  year         = {2021},
}

@article{22084,
  abstract     = {We consider the nonlinear Schrödinger equation in three space dimensions with combined focusing cubic and defocusing quintic nonlinearity. This problem was considered previously by Killip et al. [Arch. Ration. Mech. Anal., 225 (2017), pp. 469--548], who proved scattering for the whole region of the mass/energy plane where the virial quantity is guaranteed to be positive. In this paper, we prove scattering in a slightly larger region where, in particular, the virial quantity is no longer guaranteed to be sign definite.},
  author       = {Killip, Rowan and Murphy, Jason and Visan, Monica},
  issn         = {1095-7154},
  journal      = {SIAM Journal on Mathematical Analysis},
  keywords     = {NLS, scattering, viral},
  number       = {5},
  pages        = {5803--5812},
  publisher    = {Society for Industrial & Applied Mathematics},
  title        = {{Scattering for the cubic-quintic NLS: Crossing the virial threshold}},
  doi          = {10.1137/20m1381824},
  volume       = {53},
  year         = {2021},
}

@article{22087,
  abstract     = {We prove that solutions of the cubic nonlinear Schrödinger equation on $\Bbb{R}^2$ can be approximated by a finite-dimensional Hamiltonian system, uniformly on bounded sets of initial data. This is despite the wealth of non-compact symmetries: scaling, translation, and Galilei boosts.

Complementing this approximation result, we show that all solutions of the finite-dimensional Hamiltonian system we use can be approximated by the full PDE.

A key ingredient in these results is the development of a general methodology for transfering uniform global space-time bounds to suitable Fourier truncations of dispersive PDE models.

As an application, we prove symplectic non-squeezing (in the sense of Gromov) for the cubic NLS on $\Bbb{R}^2$. This is the first symplectic non-squeezing result for a Hamiltonian PDE in infinite volume. It is also the first unconditional symplectic non-squeezing result in a scaling-critical setting.

Finally, we discuss implications of non-squeezing on the nature of scattering.},
  author       = {Killip, Rowan and Visan, Monica and Zhang, Xiaoyi},
  issn         = {1080-6377},
  journal      = {American Journal of Mathematics},
  number       = {2},
  pages        = {613--680},
  publisher    = {Johns Hopkins University Press},
  title        = {{Finite-dimensional approximation and non-squeezing for the cubic nonlinear Schrödinger equation on ℝ2}},
  doi          = {10.1353/ajm.2021.0014},
  volume       = {143},
  year         = {2021},
}

@article{10327,
  abstract     = {Composite materials offer numerous advantages in a wide range of applications, including thermoelectrics. Here, semiconductor–metal composites are produced by just blending nanoparticles of a sulfide semiconductor obtained in aqueous solution and at room temperature with a metallic Cu powder. The obtained blend is annealed in a reducing atmosphere and afterward consolidated into dense polycrystalline pellets through spark plasma sintering (SPS). We observe that, during the annealing process, the presence of metallic copper activates a partial reduction of the PbS, resulting in the formation of PbS–Pb–CuxS composites. The presence of metallic lead during the SPS process habilitates the liquid-phase sintering of the composite. Besides, by comparing the transport properties of PbS, the PbS–Pb–CuxS composites, and PbS–CuxS composites obtained by blending PbS and CuxS nanoparticles, we demonstrate that the presence of metallic lead decisively contributes to a strong increase of the charge carrier concentration through spillover of charge carriers enabled by the low work function of lead. The increase in charge carrier concentration translates into much higher electrical conductivities and moderately lower Seebeck coefficients. These properties translate into power factors up to 2.1 mW m–1 K–2 at ambient temperature, well above those of PbS and PbS + CuxS. Additionally, the presence of multiple phases in the final composite results in a notable decrease in the lattice thermal conductivity. Overall, the introduction of metallic copper in the initial blend results in a significant improvement of the thermoelectric performance of PbS, reaching a dimensionless thermoelectric figure of merit ZT = 1.1 at 750 K, which represents about a 400% increase over bare PbS. Besides, an average ZTave = 0.72 in the temperature range 320–773 K is demonstrated.},
  author       = {Li, Mengyao and Liu, Yu and Zhang, Yu and Han, Xu and Xiao, Ke and Nabahat, Mehran and Arbiol, Jordi and Llorca, Jordi and Ibáñez, Maria and Cabot, Andreu},
  issn         = {1944-8252},
  journal      = {ACS Applied Materials and Interfaces},
  keywords     = {CuxS, PbS, energy conversion, nanocomposite, nanoparticle, solution synthesis, thermoelectric},
  number       = {43},
  pages        = {51373–51382},
  publisher    = {American Chemical Society},
  title        = {{PbS–Pb–CuxS composites for thermoelectric application}},
  doi          = {10.1021/acsami.1c15609},
  volume       = {13},
  year         = {2021},
}

@article{9235,
  abstract     = {Cu2–xS has become one of the most promising thermoelectric materials for application in the middle-high temperature range. Its advantages include the abundance, low cost, and safety of its elements and a high performance at relatively elevated temperatures. However, stability issues limit its operation current and temperature, thus calling for the optimization of the material performance in the middle temperature range. Here, we present a synthetic protocol for large scale production of covellite CuS nanoparticles at ambient temperature and atmosphere, and using water as a solvent. The crystal phase and stoichiometry of the particles are afterward tuned through an annealing process at a moderate temperature under inert or reducing atmosphere. While annealing under argon results in Cu1.8S nanopowder with a rhombohedral crystal phase, annealing in an atmosphere containing hydrogen leads to tetragonal Cu1.96S. High temperature X-ray diffraction analysis shows the material annealed in argon to transform to the cubic phase at ca. 400 K, while the material annealed in the presence of hydrogen undergoes two phase transitions, first to hexagonal and then to the cubic structure. The annealing atmosphere, temperature, and time allow adjustment of the density of copper vacancies and thus tuning of the charge carrier concentration and material transport properties. In this direction, the material annealed under Ar is characterized by higher electrical conductivities but lower Seebeck coefficients than the material annealed in the presence of hydrogen. By optimizing the charge carrier concentration through the annealing time, Cu2–xS with record figures of merit in the middle temperature range, up to 1.41 at 710 K, is obtained. We finally demonstrate that this strategy, based on a low-cost and scalable solution synthesis process, is also suitable for the production of high performance Cu2–xS layers using high throughput and cost-effective printing technologies.},
  author       = {Li, Mengyao and Liu, Yu and Zhang, Yu and Han, Xu and Zhang, Ting and Zuo, Yong and Xie, Chenyang and Xiao, Ke and Arbiol, Jordi and Llorca, Jordi and Ibáñez, Maria and Liu, Junfeng and Cabot, Andreu},
  issn         = {1936-086X},
  journal      = {ACS Nano},
  keywords     = {General Engineering, General Physics and Astronomy, General Materials Science},
  number       = {3},
  pages        = {4967–4978},
  publisher    = {American Chemical Society},
  title        = {{Effect of the annealing atmosphere on crystal phase and thermoelectric properties of copper sulfide}},
  doi          = {10.1021/acsnano.0c09866},
  volume       = {15},
  year         = {2021},
}

@article{10134,
  abstract     = {We investigate the effect of coupling between translational and internal degrees of freedom of composite quantum particles on their localization in a random potential. We show that entanglement between the two degrees of freedom weakens localization due to the upper bound imposed on the inverse participation ratio by purity of a quantum state. We perform numerical calculations for a two-particle system bound by a harmonic force in a 1D disordered lattice and a rigid rotor in a 2D disordered lattice. We illustrate that the coupling has a dramatic effect on localization properties, even with a small number of internal states participating in quantum dynamics.},
  author       = {Suzuki, Fumika and Lemeshko, Mikhail and Zurek, Wojciech H. and Krems, Roman V.},
  issn         = {1079-7114},
  journal      = {Physical Review Letters},
  keywords     = {General Physics and Astronomy},
  number       = {16},
  publisher    = {American Physical Society},
  title        = {{Anderson localization of composite particles}},
  doi          = {10.1103/physrevlett.127.160602},
  volume       = {127},
  year         = {2021},
}

@article{8997,
  abstract     = {Phenomenological relations such as Ohm’s or Fourier’s law have a venerable history in physics but are still scarce in biology. This situation restrains predictive theory. Here, we build on bacterial “growth laws,” which capture physiological feedback between translation and cell growth, to construct a minimal biophysical model for the combined action of ribosome-targeting antibiotics. Our model predicts drug interactions like antagonism or synergy solely from responses to individual drugs. We provide analytical results for limiting cases, which agree well with numerical results. We systematically refine the model by including direct physical interactions of different antibiotics on the ribosome. In a limiting case, our model provides a mechanistic underpinning for recent predictions of higher-order interactions that were derived using entropy maximization. We further refine the model to include the effects of antibiotics that mimic starvation and the presence of resistance genes. We describe the impact of a starvation-mimicking antibiotic on drug interactions analytically and verify it experimentally. Our extended model suggests a change in the type of drug interaction that depends on the strength of resistance, which challenges established rescaling paradigms. We experimentally show that the presence of unregulated resistance genes can lead to altered drug interaction, which agrees with the prediction of the model. While minimal, the model is readily adaptable and opens the door to predicting interactions of second and higher-order in a broad range of biological systems.},
  author       = {Kavcic, Bor and Tkačik, Gašper and Bollenbach, Tobias},
  issn         = {1553-7358},
  journal      = {PLOS Computational Biology},
  keywords     = {Modelling and Simulation, Genetics, Molecular Biology, Antibiotics, Drug interactions},
  publisher    = {Public Library of Science},
  title        = {{Minimal biophysical model of combined antibiotic action}},
  doi          = {10.1371/journal.pcbi.1008529},
  volume       = {17},
  year         = {2021},
}

@unpublished{9082,
  abstract     = {Acquired mutations are sufficiently frequent such that the genome of a single cell offers a record of its history of cell divisions. Among more common somatic genomic alterations are loss of heterozygosity (LOH). Large LOH events are potentially detectable in single cell RNA sequencing (scRNA-seq) datasets as tracts of monoallelic expression for constitutionally heterozygous single nucleotide variants (SNVs) located among contiguous genes. We identified runs of monoallelic expression, consistent with LOH, uniquely distributed throughout the genome in single cell brain cortex transcriptomes of F1 hybrids involving different inbred mouse strains. We then phylogenetically reconstructed single cell lineages and simultaneously identified cell types by corresponding gene expression patterns. Our results are consistent with progenitor cells giving rise to multiple cortical cell types through stereotyped expansion and distinct waves of neurogenesis. Compared to engineered recording systems, LOH events accumulate throughout the genome and across the lifetime of an organism, affording tremendous capacity for encoding lineage information and increasing resolution for later cell divisions. This approach can conceivably be computationally incorporated into scRNA-seq analysis and may be useful for organisms where genetic engineering is prohibitive, such as humans.},
  author       = {Anderson, Donovan J. and Pauler, Florian and McKenna, Aaron and Shendure, Jay and Hippenmeyer, Simon and Horwitz, Marshall S.},
  booktitle    = {bioRxiv},
  title        = {{Simultaneous identification of brain cell type and lineage via single cell RNA sequencing}},
  doi          = {10.1101/2020.12.31.425016},
  year         = {2021},
}

@article{10290,
  abstract     = {A precise quantitative description of the ultrastructural characteristics underlying biological mechanisms is often key to their understanding. This is particularly true for dynamic extra- and intracellular filamentous assemblies, playing a role in cell motility, cell integrity, cytokinesis, tissue formation and maintenance. For example, genetic manipulation or modulation of actin regulatory proteins frequently manifests in changes of the morphology, dynamics, and ultrastructural architecture of actin filament-rich cell peripheral structures, such as lamellipodia or filopodia. However, the observed ultrastructural effects often remain subtle and require sufficiently large datasets for appropriate quantitative analysis. The acquisition of such large datasets has been enabled by recent advances in high-throughput cryo-electron tomography (cryo-ET) methods. This also necessitates the development of complementary approaches to maximize the extraction of relevant biological information. We have developed a computational toolbox for the semi-automatic quantification of segmented and vectorized filamentous networks from pre-processed cryo-electron tomograms, facilitating the analysis and cross-comparison of multiple experimental conditions. GUI-based components simplify the processing of data and allow users to obtain a large number of ultrastructural parameters describing filamentous assemblies. We demonstrate the feasibility of this workflow by analyzing cryo-ET data of untreated and chemically perturbed branched actin filament networks and that of parallel actin filament arrays. In principle, the computational toolbox presented here is applicable for data analysis comprising any type of filaments in regular (i.e. parallel) or random arrangement. We show that it can ease the identification of key differences between experimental groups and facilitate the in-depth analysis of ultrastructural data in a time-efficient manner.},
  author       = {Dimchev, Georgi A and Amiri, Behnam and Fäßler, Florian and Falcke, Martin and Schur, Florian KM},
  issn         = {1047-8477},
  journal      = {Journal of Structural Biology},
  keywords     = {Structural Biology},
  number       = {4},
  publisher    = {Elsevier},
  title        = {{Computational toolbox for ultrastructural quantitative analysis of filament networks in cryo-ET data}},
  doi          = {10.1016/j.jsb.2021.107808},
  volume       = {213},
  year         = {2021},
}

@article{9387,
  abstract     = {We report the complete analysis of a deterministic model of deleterious mutations and negative selection against them at two haploid loci without recombination. As long as mutation is a weaker force than selection, mutant alleles remain rare at the only stable equilibrium, and otherwise, a variety of dynamics are possible. If the mutation-free genotype is absent, generally the only stable equilibrium is the one that corresponds to fixation of the mutant allele at the locus where it is less deleterious. This result suggests that fixation of a deleterious allele that follows a click of the Muller’s ratchet is governed by natural selection, instead of random drift.},
  author       = {Khudiakova, Kseniia and Neretina, Tatiana Yu. and Kondrashov, Alexey S.},
  issn         = {0022-5193},
  journal      = {Journal of Theoretical Biology},
  keywords     = {General Biochemistry, Genetics and Molecular Biology, Modelling and Simulation, Statistics and Probability, General Immunology and Microbiology, Applied Mathematics, General Agricultural and Biological Sciences, General Medicine},
  publisher    = {Elsevier},
  title        = {{Two linked loci under mutation-selection balance and Muller’s ratchet}},
  doi          = {10.1016/j.jtbi.2021.110729},
  volume       = {524},
  year         = {2021},
}

@article{10123,
  abstract     = {Solution synthesis of particles emerged as an alternative to prepare thermoelectric materials with less demanding processing conditions than conventional solid-state synthetic methods. However, solution synthesis generally involves the presence of additional molecules or ions belonging to the precursors or added to enable solubility and/or regulate nucleation and growth. These molecules or ions can end up in the particles as surface adsorbates and interfere in the material properties. This work demonstrates that ionic adsorbates, in particular Na⁺ ions, are electrostatically adsorbed in SnSe particles synthesized in water and play a crucial role not only in directing the material nano/microstructure but also in determining the transport properties of the consolidated material. In dense pellets prepared by sintering SnSe particles, Na remains within the crystal lattice as dopant, in dislocations, precipitates, and forming grain boundary complexions. These results highlight the importance of considering all the possible unintentional impurities to establish proper structure-property relationships and control material properties in solution-processed thermoelectric materials.},
  author       = {Liu, Yu and Calcabrini, Mariano and Yu, Yuan and Genç, Aziz and Chang, Cheng and Costanzo, Tommaso and Kleinhanns, Tobias and Lee, Seungho and Llorca, Jordi and Cojocaru‐Mirédin, Oana and Ibáñez, Maria},
  issn         = {1521-4095},
  journal      = {Advanced Materials},
  keywords     = {mechanical engineering, mechanics of materials, general materials science},
  number       = {52},
  publisher    = {Wiley},
  title        = {{The importance of surface adsorbates in solution‐processed thermoelectric materials: The case of SnSe}},
  doi          = {10.1002/adma.202106858},
  volume       = {33},
  year         = {2021},
}

@inbook{9245,
  abstract     = {Tissue morphogenesis is driven by mechanical forces triggering cell movements and shape changes. Quantitatively measuring tension within tissues is of great importance for understanding the role of mechanical signals acting on the cell and tissue level during morphogenesis. Here we introduce laser ablation as a useful tool to probe tissue tension within the granulosa layer, an epithelial monolayer of somatic cells that surround the zebrafish female gamete during folliculogenesis. We describe in detail how to isolate follicles, mount samples, perform laser surgery, and analyze the data.},
  author       = {Xia, Peng and Heisenberg, Carl-Philipp J},
  booktitle    = {Germline Development in the Zebrafish},
  editor       = {Dosch, Roland},
  isbn         = {978-1-0716-0969-9},
  issn         = {1940-6029},
  keywords     = {Tissue tension, Morphogenesis, Laser ablation, Zebrafish folliculogenesis, Granulosa cells},
  pages        = {117--128},
  publisher    = {Humana Press},
  title        = {{Quantifying tissue tension in the granulosa layer after laser surgery}},
  doi          = {10.1007/978-1-0716-0970-5_10},
  volume       = {2218},
  year         = {2021},
}

@inproceedings{15280,
  author       = {Balazs, Daniel and Cimada da Silva, Jessica and Dunbar, Tyler and Ibáñez, Maria and Hanrath, Tobias},
  booktitle    = {Proceedings of the Internet NanoGe Conference on Nanocrystals},
  location     = {Virtual},
  publisher    = {Fundació de la comunitat valenciana SCITO},
  title        = {{Controlled reactive assembly of colloidal nanocrystal superlattices: Mechanism and kinetics}},
  doi          = {10.29363/nanoge.incnc.2021.050},
  year         = {2021},
}

@inproceedings{10410,
  abstract     = {The security of cryptographic primitives and protocols against adversaries that are allowed to make adaptive choices (e.g., which parties to corrupt or which queries to make) is notoriously difficult to establish. A broad theoretical framework was introduced by Jafargholi et al. [Crypto’17] for this purpose. In this paper we initiate the study of lower bounds on loss in adaptive security for certain cryptographic protocols considered in the framework. We prove lower bounds that almost match the upper bounds (proven using the framework) for proxy re-encryption, prefix-constrained PRFs and generalized selective decryption, a security game that captures the security of certain group messaging and broadcast encryption schemes. Those primitives have in common that their security game involves an underlying graph that can be adaptively built by the adversary. Some of our lower bounds only apply to a restricted class of black-box reductions which we term “oblivious” (the existing upper bounds are of this restricted type), some apply to the broader but still restricted class of non-rewinding reductions, while our lower bound for proxy re-encryption applies to all black-box reductions. The fact that some of our lower bounds seem to crucially rely on obliviousness or at least a non-rewinding reduction hints to the exciting possibility that the existing upper bounds can be improved by using more sophisticated reductions. Our main conceptual contribution is a two-player multi-stage game called the Builder-Pebbler Game. We can translate bounds on the winning probabilities for various instantiations of this game into cryptographic lower bounds for the above-mentioned primitives using oracle separation techniques.},
  author       = {Kamath Hosdurg, Chethan and Klein, Karen and Pietrzak, Krzysztof Z and Walter, Michael},
  booktitle    = {19th International Conference},
  isbn         = {9-783-0309-0452-4},
  issn         = {1611-3349},
  location     = {Raleigh, NC, United States},
  pages        = {550--581},
  publisher    = {Springer Nature},
  title        = {{The cost of adaptivity in security games on graphs}},
  doi          = {10.1007/978-3-030-90453-1_19},
  volume       = {13043},
  year         = {2021},
}

@inproceedings{10409,
  abstract     = {We show that Yao’s garbling scheme is adaptively indistinguishable for the class of Boolean circuits of size   S  and treewidth   w  with only a   SO(w)  loss in security. For instance, circuits with constant treewidth are as a result adaptively indistinguishable with only a polynomial loss. This (partially) complements a negative result of Applebaum et al. (Crypto 2013), which showed (assuming one-way functions) that Yao’s garbling scheme cannot be adaptively simulatable. As main technical contributions, we introduce a new pebble game that abstracts out our security reduction and then present a pebbling strategy for this game where the number of pebbles used is roughly   O(δwlog(S)) ,   δ  being the fan-out of the circuit. The design of the strategy relies on separators, a graph-theoretic notion with connections to circuit complexity.  with only a   SO(w)  loss in security. For instance, circuits with constant treewidth are as a result adaptively indistinguishable with only a polynomial loss. This (partially) complements a negative result of Applebaum et al. (Crypto 2013), which showed (assuming one-way functions) that Yao’s garbling scheme cannot be adaptively simulatable. As main technical contributions, we introduce a new pebble game that abstracts out our security reduction and then present a pebbling strategy for this game where the number of pebbles used is roughly   O(δwlog(S)) ,   δ  being the fan-out of the circuit. The design of the strategy relies on separators, a graph-theoretic notion with connections to circuit complexity.},
  author       = {Kamath Hosdurg, Chethan and Klein, Karen and Pietrzak, Krzysztof Z},
  booktitle    = {19th International Conference},
  isbn         = {9-783-0309-0452-4},
  issn         = {1611-3349},
  location     = {Raleigh, NC, United States},
  pages        = {486--517},
  publisher    = {Springer Nature},
  title        = {{On treewidth, separators and Yao’s garbling}},
  doi          = {10.1007/978-3-030-90453-1_17},
  volume       = {13043 },
  year         = {2021},
}