D. Feliciangeli and R. Seiringer, “Uniqueness and nondegeneracy of minimizers of the Pekar functional on a ball,” SIAM Journal on Mathematical Analysis, vol. 52, no. 1. Society for Industrial &; Applied Mathematics , pp. 605–622, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/9781
DOI: 10.1137/19m126284x
WoS: 000546967700022
arXiv: 1904.08647 

J. L. Fischer and S. Hensel, “Weak–strong uniqueness for the Navier–Stokes equation for two fluids with surface tension,” Archive for Rational Mechanics and Analysis, vol. 236. Springer Nature, pp. 967–1087, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/7489
DOI: 10.1007/s00205-019-01486-2
WoS: 000511060200001

J. L. Fischer, S. Hensel, T. Laux, and T. Simon, “The local structure of the energy landscape in multiphase mean curvature flow: weak-strong uniqueness and stability of evolutions,” arXiv. .
LibreCat: https://research-explorer.ista.ac.at/record/10012
arXiv: 2003.05478

M. Peruzzo, A. Trioni, F. Hassani, M. Zemlicka, and J. M. Fink, “Surpassing the resistance quantum with a geometric superinductor,” Physical Review Applied, vol. 14, no. 4. American Physical Society, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/8755
DOI: 10.1103/PhysRevApplied.14.044055
WoS: 000582797300003
arXiv: 2007.01644

P. Gladbach, E. Kopfer, J. Maas, and L. Portinale, “Homogenisation of one-dimensional discrete optimal transport,” Journal de Mathematiques Pures et Appliquees, vol. 139, no. 7. Elsevier, pp. 204–234, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/7573
DOI: 10.1016/j.matpur.2020.02.008
WoS: 000539439400008
arXiv: 1905.05757

D. L. Forkert, J. Maas, and L. Portinale, “Evolutionary -convergence of entropic gradient flow structures for Fokker-Planck equations in multiple dimensions,” arXiv. .
LibreCat: https://research-explorer.ista.ac.at/record/10022
arXiv: 2008.10962

N. H. Konstantinov, E. Frantar, D.-A. Alistarh, and C. Lampert, “On the sample complexity of adversarial multi-source PAC learning,” in Proceedings of the 37th International Conference on Machine Learning, Online, 2020, vol. 119, pp. 5416–5425.
LibreCat: https://research-explorer.ista.ac.at/record/8724
arXiv: 2002.10384

W. Rzadkowski, N. Defenu, S. Chiacchiera, A. Trombettoni, and G. Bighin, “Detecting composite orders in layered models via machine learning,” New Journal of Physics, vol. 22, no. 9. IOP Publishing, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/8644
DOI: 10.1088/1367-2630/abae44
WoS: 000573298000001

K. Mysliwy and R. Seiringer, “Microscopic derivation of the Fröhlich Hamiltonian for the Bose polaron in the mean-field limit,” Annales Henri Poincare, vol. 21, no. 12. Springer Nature, pp. 4003–4025, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/8705
DOI: 10.1007/s00023-020-00969-3
WoS: 000578111800002
arXiv: 2003.12371

D. Nickovic, O. Lebeltel, O. Maler, T. Ferrere, and D. Ulus, “AMT 2.0: Qualitative and quantitative trace analysis with extended signal temporal logic,” International Journal on Software Tools for Technology Transfer, vol. 22, no. 6. Springer Nature, pp. 741–758, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/10861
DOI: 10.1007/s10009-020-00582-z
WoS: 000555398600001

S. G. Stark et al., “SCIM: Universal single-cell matching with unpaired feature sets,” Bioinformatics, vol. 36, no. Supplement_2. Oxford University Press, pp. i919–i927, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/14125
DOI: 10.1093/bioinformatics/btaa843
PMID: 33381818

F. Locatello et al., “A commentary on the unsupervised learning of disentangled representations,” in The 34th AAAI Conference on Artificial Intelligence, New York, NY, United States, 2020, vol. 34, no. 9, pp. 13681–13684.
LibreCat: https://research-explorer.ista.ac.at/record/14186
DOI: 10.1609/aaai.v34i09.7120
arXiv: 2007.14184

F. Locatello, B. Poole, G. Rätsch, B. Schölkopf, O. Bachem, and M. Tschannen, “Weakly-supervised disentanglement without compromises,” in Proceedings of the 37th International Conference on Machine Learning, Virtual, 2020, vol. 119, pp. 6348–6359.
LibreCat: https://research-explorer.ista.ac.at/record/14188
arXiv: 2002.02886

G. Négiar et al., “Stochastic Frank-Wolfe for constrained finite-sum minimization,” in Proceedings of the 37th International Conference on Machine Learning, Virtual, 2020, vol. 119, pp. 7253–7262.
LibreCat: https://research-explorer.ista.ac.at/record/14187
arXiv: 2002.11860

F. Locatello et al., “A sober look at the unsupervised learning of disentangled representations and their evaluation,” Journal of Machine Learning Research, vol. 21. MIT Press, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/14195
arXiv: 2010.14766

R. Grah and T. Friedlander, “The relation between crosstalk and gene regulation form revisited,” PLOS Computational Biology, vol. 16, no. 2. Public Library of Science, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/7569
DOI: 10.1371/journal.pcbi.1007642
WoS: 000526725200019

L. Santini et al., “Novel imprints in mouse blastocysts are predominantly DNA methylation independent,” bioRxiv. Cold Spring Harbor Laboratory.
LibreCat: https://research-explorer.ista.ac.at/record/8813
DOI: 10.1101/2020.11.03.366948
PMID: PPR234457 

R. Grah and T. Friedlander, “Maximizing crosstalk.” Public Library of Science, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/9777
DOI: 10.1371/journal.pcbi.1007642.s002

B. Kragl, “Verifying concurrent programs: Refinement, synchronization, sequentialization,” Institute of Science and Technology Austria, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/8332
DOI: 10.15479/AT:ISTA:8332

F. Locatello et al., “Object-centric learning with slot attention,” in Advances in Neural Information Processing Systems, Virtual, 2020, vol. 33, pp. 11525–11538.
LibreCat: https://research-explorer.ista.ac.at/record/14326
arXiv: 2006.15055