Phuong, Mary, and Christoph Lampert. “Functional vs. Parametric Equivalence of ReLU Networks.” In 8th International Conference on Learning Representations, 2020.

Feliciangeli, Dario, and Robert Seiringer. “Uniqueness and Nondegeneracy of Minimizers of the Pekar Functional on a Ball.”https://doi.org/10.1137/19m126284x__SIAM Journal on Mathematical Analysis. Society for Industrial &; Applied Mathematics , 2020.https://doi.org/10.1137/19m126284x .

Fischer, Julian L, and Sebastian Hensel. “Weak–Strong Uniqueness for the Navier–Stokes Equation for Two Fluids with Surface Tension.”https://doi.org/10.1007/s00205-019-01486-2__Archive for Rational Mechanics and Analysis. Springer Nature, 2020.https://doi.org/10.1007/s00205-019-01486-2 .

Fischer, Julian L, Sebastian Hensel, Tim Laux, and Thilo Simon. “The Local Structure of the Energy Landscape in Multiphase Mean Curvature Flow: Weak-Strong Uniqueness and Stability of Evolutions.” ArXiv, n.d.

Peruzzo, Matilda, Andrea Trioni, Farid Hassani, Martin Zemlicka, and Johannes M Fink. “Surpassing the Resistance Quantum with a Geometric Superinductor.”https://doi.org/10.1103/PhysRevApplied.14.044055__Physical Review Applied. American Physical Society, 2020.https://doi.org/10.1103/PhysRevApplied.14.044055 .

Gladbach, Peter, Eva Kopfer, Jan Maas, and Lorenzo Portinale. “Homogenisation of One-Dimensional Discrete Optimal Transport.”https://doi.org/10.1016/j.matpur.2020.02.008__Journal de Mathematiques Pures et Appliquees. Elsevier, 2020.https://doi.org/10.1016/j.matpur.2020.02.008 .

Forkert, Dominik L, Jan Maas, and Lorenzo Portinale. “Evolutionary -Convergence of Entropic Gradient Flow Structures for Fokker-Planck Equations in Multiple Dimensions.” ArXiv, n.d.

Konstantinov, Nikola H, Elias Frantar, Dan-Adrian Alistarh, and Christoph Lampert. “On the Sample Complexity of Adversarial Multi-Source PAC Learning.” In Proceedings of the 37th International Conference on Machine Learning, 119:5416–25. ML Research Press, 2020.

Rzadkowski, Wojciech, N Defenu, S Chiacchiera, A Trombettoni, and Giacomo Bighin. “Detecting Composite Orders in Layered Models via Machine Learning.”https://doi.org/10.1088/1367-2630/abae44__New Journal of Physics. IOP Publishing, 2020.https://doi.org/10.1088/1367-2630/abae44 .

Mysliwy, Krzysztof, and Robert Seiringer. “Microscopic Derivation of the Fröhlich Hamiltonian for the Bose Polaron in the Mean-Field Limit.”https://doi.org/10.1007/s00023-020-00969-3__Annales Henri Poincare. Springer Nature, 2020.https://doi.org/10.1007/s00023-020-00969-3 .

Nickovic, Dejan, Olivier Lebeltel, Oded Maler, Thomas Ferrere, and Dogan Ulus. “AMT 2.0: Qualitative and Quantitative Trace Analysis with Extended Signal Temporal Logic.”https://doi.org/10.1007/s10009-020-00582-z__International Journal on Software Tools for Technology Transfer. Springer Nature, 2020.https://doi.org/10.1007/s10009-020-00582-z .

Stark, Stefan G, Joanna Ficek, Francesco Locatello, Ximena Bonilla, Stéphane Chevrier, Franziska Singer, Rudolf Aebersold, et al. “SCIM: Universal Single-Cell Matching with Unpaired Feature Sets.”https://doi.org/10.1093/bioinformatics/btaa843__Bioinformatics. Oxford University Press, 2020.https://doi.org/10.1093/bioinformatics/btaa843 .

Locatello, Francesco, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, and Olivier Bachem. “A Commentary on the Unsupervised Learning of Disentangled Representations.”https://doi.org/10.1609/aaai.v34i09.7120__In The 34th AAAI Conference on Artificial Intelligence, 34:13681–84. Association for the Advancement of Artificial Intelligence, 2020.https://doi.org/10.1609/aaai.v34i09.7120 .

Locatello, Francesco, Ben Poole, Gunnar Rätsch, Bernhard Schölkopf, Olivier Bachem, and Michael Tschannen. “Weakly-Supervised Disentanglement without Compromises.” In Proceedings of the 37th International Conference on Machine Learning, 119:6348–6359, 2020.

Négiar, Geoffrey, Gideon Dresdner, Alicia Tsai, Laurent El Ghaoui, Francesco Locatello, Robert M. Freund, and Fabian Pedregosa. “Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization.” In Proceedings of the 37th International Conference on Machine Learning, 119:7253–62, 2020.

Locatello, Francesco, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, and Olivier Bachem. “A Sober Look at the Unsupervised Learning of Disentangled Representations and Their Evaluation.” Journal of Machine Learning Research. MIT Press, 2020.

Grah, Rok, and Tamar Friedlander. “The Relation between Crosstalk and Gene Regulation Form Revisited.”https://doi.org/10.1371/journal.pcbi.1007642__PLOS Computational Biology. Public Library of Science, 2020.https://doi.org/10.1371/journal.pcbi.1007642 .

Santini, Laura, Florian Halbritter, Fabian Titz-Teixeira, Toru Suzuki, Maki Asami, Julia Ramesmayer, Xiaoyan Ma, et al. “Novel Imprints in Mouse Blastocysts Are Predominantly DNA Methylation Independent.”https://doi.org/10.1101/2020.11.03.366948__BioRxiv. Cold Spring Harbor Laboratory, n.d.https://doi.org/10.1101/2020.11.03.366948 .

Grah, Rok, and Tamar Friedlander. “Maximizing Crosstalk.”https://doi.org/10.1371/journal.pcbi.1007642.s002__Public Library of Science, 2020.https://doi.org/10.1371/journal.pcbi.1007642.s002 .

Kragl, Bernhard. “Verifying Concurrent Programs: Refinement, Synchronization, Sequentialization.”https://doi.org/10.15479/AT:ISTA:8332__Institute of Science and Technology Austria, 2020.https://doi.org/10.15479/AT:ISTA:8332 .