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9078 Publications


2020 | Thesis | IST-REx-ID: 8358 | OA
Dos Santos Caldas, P. R. (2020). Organization and dynamics of treadmilling filaments in cytoskeletal networks of FtsZ and its crosslinkers. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:8358
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2020 | Conference Paper | IST-REx-ID: 8703 | OA
Osang, G. F., Rouxel-Labbé, M., & Teillaud, M. (2020). Generalizing CGAL periodic Delaunay triangulations. In 28th Annual European Symposium on Algorithms (Vol. 173). Virtual, Online; Pisa, Italy: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.ESA.2020.75
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2020 | Conference Paper | IST-REx-ID: 7481 | OA
Phuong, M., & Lampert, C. (2020). Functional vs. parametric equivalence of ReLU networks. In 8th International Conference on Learning Representations. Online.
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2020 | Journal Article | IST-REx-ID: 9781 | OA
Feliciangeli, D., & Seiringer, R. (2020). Uniqueness and nondegeneracy of minimizers of the Pekar functional on a ball. SIAM Journal on Mathematical Analysis. Society for Industrial & Applied Mathematics . https://doi.org/10.1137/19m126284x
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

2020 | Journal Article | IST-REx-ID: 7489 | OA
Fischer, J. L., & Hensel, S. (2020). Weak–strong uniqueness for the Navier–Stokes equation for two fluids with surface tension. Archive for Rational Mechanics and Analysis. Springer Nature. https://doi.org/10.1007/s00205-019-01486-2
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2020 | Preprint | IST-REx-ID: 10012 | OA
Fischer, J. L., Hensel, S., Laux, T., & Simon, T. (n.d.). The local structure of the energy landscape in multiphase mean curvature flow: weak-strong uniqueness and stability of evolutions. arXiv.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 

2020 | Journal Article | IST-REx-ID: 8755 | OA
Peruzzo, M., Trioni, A., Hassani, F., Zemlicka, M., & Fink, J. M. (2020). Surpassing the resistance quantum with a geometric superinductor. Physical Review Applied. American Physical Society. https://doi.org/10.1103/PhysRevApplied.14.044055
[Published Version] View | Files available | DOI | WoS | arXiv
 

2020 | Journal Article | IST-REx-ID: 7573 | OA
Gladbach, P., Kopfer, E., Maas, J., & Portinale, L. (2020). Homogenisation of one-dimensional discrete optimal transport. Journal de Mathematiques Pures et Appliquees. Elsevier. https://doi.org/10.1016/j.matpur.2020.02.008
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2020 | Preprint | IST-REx-ID: 10022 | OA
Forkert, D. L., Maas, J., & Portinale, L. (n.d.). Evolutionary Γ-convergence of entropic gradient flow structures for Fokker-Planck equations in multiple dimensions. arXiv.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 

2020 | Conference Paper | IST-REx-ID: 8724 | OA
Konstantinov, N. H., Frantar, E., Alistarh, D.-A., & Lampert, C. (2020). On the sample complexity of adversarial multi-source PAC learning. In Proceedings of the 37th International Conference on Machine Learning (Vol. 119, pp. 5416–5425). Online: ML Research Press.
[Published Version] View | Files available | arXiv
 

2020 | Journal Article | IST-REx-ID: 8644 | OA
Rzadkowski, W., Defenu, N., Chiacchiera, S., Trombettoni, A., & Bighin, G. (2020). Detecting composite orders in layered models via machine learning. New Journal of Physics. IOP Publishing. https://doi.org/10.1088/1367-2630/abae44
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2020 | Journal Article | IST-REx-ID: 8705 | OA
Mysliwy, K., & Seiringer, R. (2020). Microscopic derivation of the Fröhlich Hamiltonian for the Bose polaron in the mean-field limit. Annales Henri Poincare. Springer Nature. https://doi.org/10.1007/s00023-020-00969-3
[Published Version] View | Files available | DOI | WoS | arXiv
 

2020 | Journal Article | IST-REx-ID: 10861
Nickovic, D., Lebeltel, O., Maler, O., Ferrere, T., & Ulus, D. (2020). AMT 2.0: Qualitative and quantitative trace analysis with extended signal temporal logic. International Journal on Software Tools for Technology Transfer. Springer Nature. https://doi.org/10.1007/s10009-020-00582-z
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2020 | Journal Article | IST-REx-ID: 14125 | OA
Stark SG et al. 2020. SCIM: Universal single-cell matching with unpaired feature sets. Bioinformatics. 36(Supplement_2), i919–i927.
[Published Version] View | Files available | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 

2020 | Conference Paper | IST-REx-ID: 14186 | OA
Locatello, F., Bauer, S., Lucic, M., Rätsch, G., Gelly, S., Schölkopf, B., & Bachem, O. (2020). A commentary on the unsupervised learning of disentangled representations. In The 34th AAAI Conference on Artificial Intelligence (Vol. 34, pp. 13681–13684). New York, NY, United States: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v34i09.7120
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2020 | Conference Paper | IST-REx-ID: 14188 | OA
Locatello, F., Poole, B., Rätsch, G., Schölkopf, B., Bachem, O., & Tschannen, M. (2020). Weakly-supervised disentanglement without compromises. In Proceedings of the 37th International Conference on Machine Learning (Vol. 119, pp. 6348–6359). Virtual.
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2020 | Conference Paper | IST-REx-ID: 14187 | OA
Négiar, G., Dresdner, G., Tsai, A., Ghaoui, L. E., Locatello, F., Freund, R. M., & Pedregosa, F. (2020). Stochastic Frank-Wolfe for constrained finite-sum minimization. In Proceedings of the 37th International Conference on Machine Learning (Vol. 119, pp. 7253–7262). Virtual.
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2020 | Journal Article | IST-REx-ID: 14195 | OA
Locatello, F., Bauer, S., Lucic, M., Rätsch, G., Gelly, S., Schölkopf, B., & Bachem, O. (2020). A sober look at the unsupervised learning of disentangled representations and their evaluation. Journal of Machine Learning Research. MIT Press.
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2020 | Journal Article | IST-REx-ID: 7569 | OA
Grah, R., & Friedlander, T. (2020). The relation between crosstalk and gene regulation form revisited. PLOS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1007642
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2020 | Preprint | IST-REx-ID: 8813 | OA
Santini, L., Halbritter, F., Titz-Teixeira, F., Suzuki, T., Asami, M., Ramesmayer, J., … Leeb, M. (n.d.). Novel imprints in mouse blastocysts are predominantly DNA methylation independent. bioRxiv. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2020.11.03.366948
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