Grah R, Zoller B, Tkadik G. Normative models of enhancer function. bioRxiv. 2020. doi:10.1101/2020.04.08.029405
LibreCat: https://research-explorer.ista.ac.at/record/7675
DOI: 10.1101/2020.04.08.029405

Ölsböck K. The hole system of triangulated shapes. 2020. doi:10.15479/AT:ISTA:7460
LibreCat: https://research-explorer.ista.ac.at/record/7460
DOI: 10.15479/AT:ISTA:7460

Kamath Hosdurg C. On the average-case hardness of total search problems. 2020. doi:10.15479/AT:ISTA:7896
LibreCat: https://research-explorer.ista.ac.at/record/7896
DOI: 10.15479/AT:ISTA:7896

Royer A, Lampert C. Localizing grouped instances for efficient detection in low-resource scenarios. In: IEEE Winter Conference on Applications of Computer Vision. IEEE; 2020. doi:10.1109/WACV45572.2020.9093288
LibreCat: https://research-explorer.ista.ac.at/record/7936
DOI: 10.1109/WACV45572.2020.9093288
arXiv: 2004.12623

Royer A, Lampert C. A flexible selection scheme for minimum-effort transfer learning. In: 2020 IEEE Winter Conference on Applications of Computer Vision. IEEE; 2020. doi:10.1109/WACV45572.2020.9093635
LibreCat: https://research-explorer.ista.ac.at/record/7937
DOI: 10.1109/WACV45572.2020.9093635
arXiv: 2008.11995

Chatterjee K, Chmelik M, Karkhanis D, Novotný P, Royer A. Multiple-environment Markov decision processes: Efficient analysis and applications. In: Proceedings of the 30th International Conference on Automated Planning and Scheduling. Vol 30. Association for the Advancement of Artificial Intelligence; 2020:48-56.
LibreCat: https://research-explorer.ista.ac.at/record/8193

Royer A, Bousmalis K, Gouws S, et al. XGAN: Unsupervised image-to-image translation for many-to-many mappings. In: Singh R, Vatsa M, Patel VM, Ratha N, eds. Domain Adaptation for Visual Understanding. Springer Nature; 2020:33-49. doi:10.1007/978-3-030-30671-7_3
LibreCat: https://research-explorer.ista.ac.at/record/8092
DOI: 10.1007/978-3-030-30671-7_3
arXiv: 1711.05139

Masárová Z. Reconfiguration problems. 2020. doi:10.15479/AT:ISTA:7944
LibreCat: https://research-explorer.ista.ac.at/record/7944
DOI: 10.15479/AT:ISTA:7944

Li X, Yakaboylu E, Bighin G, Schmidt R, Lemeshko M, Deuchert A. Intermolecular forces and correlations mediated by a phonon bath. The Journal of Chemical Physics. 2020;152(16). doi:10.1063/1.5144759
LibreCat: https://research-explorer.ista.ac.at/record/8587
DOI: 10.1063/1.5144759
WoS: 000530448300001
arXiv: 1912.02658

Bezeljak U. In vitro reconstitution of a Rab activation switch. 2020. doi:10.15479/AT:ISTA:8341
LibreCat: https://research-explorer.ista.ac.at/record/8341
DOI: 10.15479/AT:ISTA:8341

Bezeljak U, Loya H, Kaczmarek BM, Saunders TE, Loose M. Stochastic activation and bistability in a Rab GTPase regulatory network. Proceedings of the National Academy of Sciences. 2020;117(12):6504-6549. doi:10.1073/pnas.1921027117
LibreCat: https://research-explorer.ista.ac.at/record/7580
DOI: 10.1073/pnas.1921027117
WoS: 000521821800040

Huszár K. Combinatorial width parameters for 3-dimensional manifolds. 2020. doi:10.15479/AT:ISTA:8032
LibreCat: https://research-explorer.ista.ac.at/record/8032
DOI: 10.15479/AT:ISTA:8032

Kragl B, Qadeer S, Henzinger TA. Refinement for structured concurrent programs. In: Computer Aided Verification. Vol 12224. Springer Nature; 2020:275-298. doi:10.1007/978-3-030-53288-8_14
LibreCat: https://research-explorer.ista.ac.at/record/8195
DOI: 10.1007/978-3-030-53288-8_14
WoS: 000695276000014

Kragl B, Enea C, Henzinger TA, Mutluergil SO, Qadeer S. Inductive sequentialization of asynchronous programs. In: Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation. Association for Computing Machinery; 2020:227-242. doi:10.1145/3385412.3385980
LibreCat: https://research-explorer.ista.ac.at/record/8012
DOI: 10.1145/3385412.3385980
WoS: 000614622300016

Dos Santos Caldas PR. Organization and dynamics of treadmilling filaments in cytoskeletal networks of FtsZ and its crosslinkers. 2020. doi:10.15479/AT:ISTA:8358
LibreCat: https://research-explorer.ista.ac.at/record/8358
DOI: 10.15479/AT:ISTA:8358

Osang GF, Rouxel-Labbé M, Teillaud M. Generalizing CGAL periodic Delaunay triangulations. In: 28th Annual European Symposium on Algorithms. Vol 173. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2020. doi:10.4230/LIPIcs.ESA.2020.75
LibreCat: https://research-explorer.ista.ac.at/record/8703
DOI: 10.4230/LIPIcs.ESA.2020.75

Phuong M, Lampert C. Functional vs. parametric equivalence of ReLU networks. In: 8th International Conference on Learning Representations. ; 2020.
LibreCat: https://research-explorer.ista.ac.at/record/7481

Feliciangeli D, Seiringer R. Uniqueness and nondegeneracy of minimizers of the Pekar functional on a ball. SIAM Journal on Mathematical Analysis. 2020;52(1):605-622. doi:10.1137/19m126284x
LibreCat: https://research-explorer.ista.ac.at/record/9781
DOI: 10.1137/19m126284x
WoS: 000546967700022
arXiv: 1904.08647 

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

Fischer JL, Hensel S, Laux T, Simon T. 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

Peruzzo M, Trioni A, Hassani F, Zemlicka M, Fink JM. Surpassing the resistance quantum with a geometric superinductor. Physical Review Applied. 2020;14(4). doi:10.1103/PhysRevApplied.14.044055
LibreCat: https://research-explorer.ista.ac.at/record/8755
DOI: 10.1103/PhysRevApplied.14.044055
WoS: 000582797300003
arXiv: 2007.01644

Gladbach P, Kopfer E, Maas J, Portinale L. Homogenisation of one-dimensional discrete optimal transport. Journal de Mathematiques Pures et Appliquees. 2020;139(7):204-234. doi:10.1016/j.matpur.2020.02.008
LibreCat: https://research-explorer.ista.ac.at/record/7573
DOI: 10.1016/j.matpur.2020.02.008
WoS: 000539439400008
arXiv: 1905.05757

Forkert DL, Maas J, Portinale L. 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

Konstantinov NH, Frantar E, Alistarh D-A, Lampert C. On the sample complexity of adversarial multi-source PAC learning. In: Proceedings of the 37th International Conference on Machine Learning. Vol 119. ML Research Press; 2020:5416-5425.
LibreCat: https://research-explorer.ista.ac.at/record/8724
arXiv: 2002.10384

Rzadkowski W, Defenu N, Chiacchiera S, Trombettoni A, Bighin G. Detecting composite orders in layered models via machine learning. New Journal of Physics. 2020;22(9). doi:10.1088/1367-2630/abae44
LibreCat: https://research-explorer.ista.ac.at/record/8644
DOI: 10.1088/1367-2630/abae44
WoS: 000573298000001

Mysliwy K, Seiringer R. Microscopic derivation of the Fröhlich Hamiltonian for the Bose polaron in the mean-field limit. Annales Henri Poincare. 2020;21(12):4003-4025. doi:10.1007/s00023-020-00969-3
LibreCat: https://research-explorer.ista.ac.at/record/8705
DOI: 10.1007/s00023-020-00969-3
WoS: 000578111800002
arXiv: 2003.12371

Nickovic D, Lebeltel O, Maler O, Ferrere T, Ulus D. AMT 2.0: Qualitative and quantitative trace analysis with extended signal temporal logic. International Journal on Software Tools for Technology Transfer. 2020;22(6):741-758. doi:10.1007/s10009-020-00582-z
LibreCat: https://research-explorer.ista.ac.at/record/10861
DOI: 10.1007/s10009-020-00582-z
WoS: 000555398600001

Stark SG, Ficek J, Locatello F, et al. SCIM: Universal single-cell matching with unpaired feature sets. Bioinformatics. 2020;36(Supplement_2):i919-i927. doi:10.1093/bioinformatics/btaa843
LibreCat: https://research-explorer.ista.ac.at/record/14125
DOI: 10.1093/bioinformatics/btaa843
PMID: 33381818

Locatello F, Bauer S, Lucic M, et al. A commentary on the unsupervised learning of disentangled representations. In: The 34th AAAI Conference on Artificial Intelligence. Vol 34. Association for the Advancement of Artificial Intelligence; 2020:13681-13684. doi:10.1609/aaai.v34i09.7120
LibreCat: https://research-explorer.ista.ac.at/record/14186
DOI: 10.1609/aaai.v34i09.7120
arXiv: 2007.14184

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

Négiar G, Dresdner G, Tsai A, et al. Stochastic Frank-Wolfe for constrained finite-sum minimization. In: Proceedings of the 37th International Conference on Machine Learning. Vol 119. ; 2020:7253-7262.
LibreCat: https://research-explorer.ista.ac.at/record/14187
arXiv: 2002.11860

Locatello F, Bauer S, Lucic M, et al. A sober look at the unsupervised learning of disentangled representations and their evaluation. Journal of Machine Learning Research. 2020;21.
LibreCat: https://research-explorer.ista.ac.at/record/14195
arXiv: 2010.14766

Grah R, Friedlander T. The relation between crosstalk and gene regulation form revisited. PLOS Computational Biology. 2020;16(2). doi:10.1371/journal.pcbi.1007642
LibreCat: https://research-explorer.ista.ac.at/record/7569
DOI: 10.1371/journal.pcbi.1007642
WoS: 000526725200019

Santini L, Halbritter F, Titz-Teixeira F, et al. Novel imprints in mouse blastocysts are predominantly DNA methylation independent. bioRxiv. doi:10.1101/2020.11.03.366948
LibreCat: https://research-explorer.ista.ac.at/record/8813
DOI: 10.1101/2020.11.03.366948
PMID: PPR234457 

Grah R, Friedlander T. Maximizing crosstalk. 2020. doi:10.1371/journal.pcbi.1007642.s002
LibreCat: https://research-explorer.ista.ac.at/record/9777
DOI: 10.1371/journal.pcbi.1007642.s002

Kragl B. Verifying concurrent programs: Refinement, synchronization, sequentialization. 2020. doi:10.15479/AT:ISTA:8332
LibreCat: https://research-explorer.ista.ac.at/record/8332
DOI: 10.15479/AT:ISTA:8332

Locatello F, Weissenborn D, Unterthiner T, et al. Object-centric learning with slot attention. In: Advances in Neural Information Processing Systems. Vol 33. Curran Associates; 2020:11525-11538.
LibreCat: https://research-explorer.ista.ac.at/record/14326
arXiv: 2006.15055

Gladbach P, Kopfer E, Maas J. Scaling limits of discrete optimal transport. SIAM Journal on Mathematical Analysis. 2020;52(3):2759-2802. doi:10.1137/19M1243440
LibreCat: https://research-explorer.ista.ac.at/record/71
DOI: 10.1137/19M1243440
WoS: 000546975100017
arXiv: 1809.01092

Hikaru I, Wojtan C, Thuerey N, Igarashi T, Ando R. Simulating liquids on dynamically warping grids. IEEE Transactions on Visualization and Computer Graphics. 2020;26(6):2288-2302. doi:10.1109/TVCG.2018.2883628
LibreCat: https://research-explorer.ista.ac.at/record/5681
DOI: 10.1109/TVCG.2018.2883628
WoS: 000532295600014
PMID: 30507534

Li X. Rotation of coupled cold molecules in the presence of a many-body environment. 2020. doi:10.15479/AT:ISTA:8958
LibreCat: https://research-explorer.ista.ac.at/record/8958
DOI: 10.15479/AT:ISTA:8958

Zhang R. Structure-aware computational design and its application to 3D printable volume scattering, mechanism, and multistability. 2020. doi:10.15479/AT:ISTA:8386
LibreCat: https://research-explorer.ista.ac.at/record/8386
DOI: 10.15479/AT:ISTA:8386

Kukucka J. Implementation of a hole spin qubit in Ge hut wires and dispersive spin sensing. 2020. doi:10.15479/AT:ISTA:7996
LibreCat: https://research-explorer.ista.ac.at/record/7996
DOI: 10.15479/AT:ISTA:7996

Chatterjee K, Katoen JP, Weininger M, Winkler T. Stochastic games with lexicographic reachability-safety objectives. In: International Conference on Computer Aided Verification. Vol 12225. Springer Nature; 2020:398-420. doi:10.1007/978-3-030-53291-8_21
LibreCat: https://research-explorer.ista.ac.at/record/8272
DOI: 10.1007/978-3-030-53291-8_21
WoS: 000695272500021
arXiv: 2005.04018

Dos Santos Caldas PR, Radler P, Sommer CM, Loose M. Computational analysis of filament polymerization dynamics in cytoskeletal networks. In: Tran P, ed. Methods in Cell Biology. Vol 158. Elsevier; 2020:145-161. doi:10.1016/bs.mcb.2020.01.006
LibreCat: https://research-explorer.ista.ac.at/record/7572
DOI: 10.1016/bs.mcb.2020.01.006
WoS: 000611826500008

Baranova NS, Radler P, Hernández-Rocamora VM, et al. Diffusion and capture permits dynamic coupling between treadmilling FtsZ filaments and cell division proteins. Nature Microbiology. 2020;5:407-417. doi:10.1038/s41564-019-0657-5
LibreCat: https://research-explorer.ista.ac.at/record/7387
DOI: 10.1038/s41564-019-0657-5
WoS: 000508584700007
PMID: 31959972

Vegter G, Wintraecken M. Refutation of a claim made by Fejes Tóth on the accuracy of surface meshes. Studia Scientiarum Mathematicarum Hungarica. 2020;57(2):193-199. doi:10.1556/012.2020.57.2.1454
LibreCat: https://research-explorer.ista.ac.at/record/8163
DOI: 10.1556/012.2020.57.2.1454
WoS: 000570978400005

Shakiba A, Goharshady AK, Hooshmandasl MR, Alambardar Meybodi M. A note on belief structures and s-approximation spaces. Iranian Journal of Mathematical Sciences and Informatics. 2020;15(2):117-128. doi:10.29252/ijmsi.15.2.117
LibreCat: https://research-explorer.ista.ac.at/record/8671
DOI: 10.29252/ijmsi.15.2.117
arXiv: 1805.10672

Dareiotis K, Gerencser M. On the regularisation of the noise for the Euler-Maruyama scheme with irregular drift. Electronic Journal of Probability. 2020;25. doi:10.1214/20-EJP479
LibreCat: https://research-explorer.ista.ac.at/record/6359
DOI: 10.1214/20-EJP479
WoS: 000550150700001
arXiv: 1812.04583

Royer A. Leveraging structure in Computer Vision tasks for flexible Deep Learning models. 2020. doi:10.15479/AT:ISTA:8390
LibreCat: https://research-explorer.ista.ac.at/record/8390
DOI: 10.15479/AT:ISTA:8390

Henderson PM, Tsiminaki V, Lampert C. Leveraging 2D data to learn textured 3D mesh generation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE; 2020:7498-7507. doi:10.1109/CVPR42600.2020.00752
LibreCat: https://research-explorer.ista.ac.at/record/8186
DOI: 10.1109/CVPR42600.2020.00752
arXiv: 2004.04180