Phuong, M., &; Lampert, C. (2020). Functional vs. parametric equivalence of ReLU networks. In 8th International Conference on Learning Representations. Online.

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 

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 

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.

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 

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 

Forkert, D. L., Maas, J., &; Portinale, L. (n.d.). Evolutionary -convergence of entropic gradient flow structures for Fokker-Planck equations in multiple dimensions. arXiv.

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.

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 

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 

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 

Stark, S. G., Ficek, J., Locatello, F., Bonilla, X., Chevrier, S., Singer, F.,https://doi.org/10.1093/bioinformatics/btaa843__Lehmann, K.-V. (2020). SCIM: Universal single-cell matching with unpaired feature sets. Bioinformatics. Oxford University Press.https://doi.org/10.1093/bioinformatics/btaa843 

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 

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.

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.

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.

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 

Santini, L., Halbritter, F., Titz-Teixeira, F., Suzuki, T., Asami, M., Ramesmayer, J.,https://doi.org/10.1101/2020.11.03.366948__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 

Grah, R., &; Friedlander, T. (2020). Maximizing crosstalk. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1007642.s002 

Kragl, B. (2020). Verifying concurrent programs: Refinement, synchronization, sequentialization. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:8332