XGAN: Unsupervised image-to-image translation for many-to-many mappings
A. Royer, K. Bousmalis, S. Gouws, F. Bertsch, I. Mosseri, F. Cole, K. Murphy, in:, R. Singh, M. Vatsa, V.M. Patel, N. Ratha (Eds.), Domain Adaptation for Visual Understanding, Springer Nature, 2020, pp. 33–49.
LibreCat: https://research-explorer.ista.ac.at/record/8092
DOI: 10.1007/978-3-030-30671-7_3
arXiv: 1711.05139

Reconfiguration problems
Z. Masárová, Reconfiguration Problems, Institute of Science and Technology Austria, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/7944
DOI: 10.15479/AT:ISTA:7944

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

In vitro reconstitution of a Rab activation switch
U. Bezeljak, In Vitro Reconstitution of a Rab Activation Switch, Institute of Science and Technology Austria, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/8341
DOI: 10.15479/AT:ISTA:8341

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

Combinatorial width parameters for 3-dimensional manifolds
K. Huszár, Combinatorial Width Parameters for 3-Dimensional Manifolds, Institute of Science and Technology Austria, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/8032
DOI: 10.15479/AT:ISTA:8032

Refinement for structured concurrent programs
B. Kragl, S. Qadeer, T.A. Henzinger, in:, Computer Aided Verification, Springer Nature, 2020, pp. 275–298.
LibreCat: https://research-explorer.ista.ac.at/record/8195
DOI: 10.1007/978-3-030-53288-8_14
WoS: 000695276000014

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

Organization and dynamics of treadmilling filaments in cytoskeletal networks of FtsZ and its crosslinkers
P.R. Dos Santos Caldas, Organization and Dynamics of Treadmilling Filaments in Cytoskeletal Networks of FtsZ and Its Crosslinkers, Institute of Science and Technology Austria, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/8358
DOI: 10.15479/AT:ISTA:8358

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

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

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

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

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

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

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

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

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

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

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

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

SCIM: Universal single-cell matching with unpaired feature sets
S.G. Stark, J. Ficek, F. Locatello, X. Bonilla, S. Chevrier, F. Singer, R. Aebersold, F.S. Al-Quaddoomi, J. Albinus, I. Alborelli, S. Andani, P.-O. Attinger, M. Bacac, D. Baumhoer, B. Beck-Schimmer, N. Beerenwinkel, C. Beisel, L. Bernasconi, A. Bertolini, B. Bodenmiller, X. Bonilla, R. Casanova, S. Chevrier, N. Chicherova, M. D’Costa, E. Danenberg, N. Davidson, M.-A.D. gan, R. Dummer, S. Engler, M. Erkens, K. Eschbach, C. Esposito, A. Fedier, P. Ferreira, J. Ficek, A.L. Frei, B. Frey, S. Goetze, L. Grob, G. Gut, D. Günther, M. Haberecker, P. Haeuptle, V. Heinzelmann-Schwarz, S. Herter, R. Holtackers, T. Huesser, A. Irmisch, F. Jacob, A. Jacobs, T.M. Jaeger, K. Jahn, A.R. James, P.M. Jermann, A. Kahles, A. Kahraman, V.H. Koelzer, W. Kuebler, J. Kuipers, C.P. Kunze, C. Kurzeder, K.-V. Lehmann, M. Levesque, S. Lugert, G. Maass, M. Manz, P. Markolin, J. Mena, U. Menzel, J.M. Metzler, N. Miglino, E.S. Milani, H. Moch, S. Muenst, R. Murri, C.K. Ng, S. Nicolet, M. Nowak, P.G. Pedrioli, L. Pelkmans, S. Piscuoglio, M. Prummer, M. Ritter, C. Rommel, M.L. Rosano-González, G. Rätsch, N. Santacroce, J.S. del Castillo, R. Schlenker, P.C. Schwalie, S. Schwan, T. Schär, G. Senti, F. Singer, S. Sivapatham, B. Snijder, B. Sobottka, V.T. Sreedharan, S. Stark, D.J. Stekhoven, A.P. Theocharides, T.M. Thomas, M. Tolnay, V. Tosevski, N.C. Toussaint, M.A. Tuncel, M. Tusup, A.V. Drogen, M. Vetter, T. Vlajnic, S. Weber, W.P. Weber, R. Wegmann, M. Weller, F. Wendt, N. Wey, A. Wicki, B. Wollscheid, S. Yu, J. Ziegler, M. Zimmermann, M. Zoche, G. Zuend, G. Rätsch, K.-V. Lehmann, Bioinformatics 36 (2020) i919–i927.
LibreCat: https://research-explorer.ista.ac.at/record/14125
DOI: 10.1093/bioinformatics/btaa843
PMID: 33381818

A commentary on the unsupervised learning of disentangled representations
F. Locatello, S. Bauer, M. Lucic, G. Rätsch, S. Gelly, B. Schölkopf, O. Bachem, in:, The 34th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2020, pp. 13681–13684.
LibreCat: https://research-explorer.ista.ac.at/record/14186
DOI: 10.1609/aaai.v34i09.7120
arXiv: 2007.14184

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

Stochastic Frank-Wolfe for constrained finite-sum minimization
G. Négiar, G. Dresdner, A. Tsai, L.E. Ghaoui, F. Locatello, R.M. Freund, F. Pedregosa, in:, Proceedings of the 37th International Conference on Machine Learning, 2020, pp. 7253–7262.
LibreCat: https://research-explorer.ista.ac.at/record/14187
arXiv: 2002.11860

A sober look at the unsupervised learning of disentangled representations and their evaluation
F. Locatello, S. Bauer, M. Lucic, G. Rätsch, S. Gelly, B. Schölkopf, O. Bachem, Journal of Machine Learning Research 21 (2020).
LibreCat: https://research-explorer.ista.ac.at/record/14195
arXiv: 2010.14766

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

Novel imprints in mouse blastocysts are predominantly DNA methylation independent
L. Santini, F. Halbritter, F. Titz-Teixeira, T. Suzuki, M. Asami, J. Ramesmayer, X. Ma, A. Lackner, N. Warr, F. Pauler, S. Hippenmeyer, E. Laue, M. Farlik, C. Bock, A. Beyer, A.C.F. Perry, M. Leeb, BioRxiv (n.d.).
LibreCat: https://research-explorer.ista.ac.at/record/8813
DOI: 10.1101/2020.11.03.366948
PMID: PPR234457 

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

Verifying concurrent programs: Refinement, synchronization, sequentialization
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

Object-centric learning with slot attention
F. Locatello, D. Weissenborn, T. Unterthiner, A. Mahendran, G. Heigold, J. Uszkoreit, A. Dosovitskiy, T. Kipf, in:, Advances in Neural Information Processing Systems, Curran Associates, 2020, pp. 11525–11538.
LibreCat: https://research-explorer.ista.ac.at/record/14326
arXiv: 2006.15055

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

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

Rotation of coupled cold molecules in the presence of a many-body environment
X. Li, Rotation of Coupled Cold Molecules in the Presence of a Many-Body Environment, Institute of Science and Technology Austria, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/8958
DOI: 10.15479/AT:ISTA:8958

Structure-aware computational design and its application to 3D printable volume scattering, mechanism, and multistability
R. Zhang, Structure-Aware Computational Design and Its Application to 3D Printable Volume Scattering, Mechanism, and Multistability, Institute of Science and Technology Austria, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/8386
DOI: 10.15479/AT:ISTA:8386

Implementation of a hole spin qubit in Ge hut wires and dispersive spin sensing
J. Kukucka, Implementation of a Hole Spin Qubit in Ge Hut Wires and Dispersive Spin Sensing, Institute of Science and Technology Austria, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/7996
DOI: 10.15479/AT:ISTA:7996

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

Computational analysis of filament polymerization dynamics in cytoskeletal networks
P.R. Dos Santos Caldas, P. Radler, C.M. Sommer, M. Loose, in:, P. Tran (Ed.), Methods in Cell Biology, Elsevier, 2020, pp. 145–161.
LibreCat: https://research-explorer.ista.ac.at/record/7572
DOI: 10.1016/bs.mcb.2020.01.006
WoS: 000611826500008

Diffusion and capture permits dynamic coupling between treadmilling FtsZ filaments and cell division proteins
N.S. Baranova, P. Radler, V.M. Hernández-Rocamora, C. Alfonso, M.D. Lopez Pelegrin, G. Rivas, W. Vollmer, M. Loose, Nature Microbiology 5 (2020) 407–417.
LibreCat: https://research-explorer.ista.ac.at/record/7387
DOI: 10.1038/s41564-019-0657-5
WoS: 000508584700007
PMID: 31959972

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

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

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

Leveraging structure in Computer Vision tasks for flexible Deep Learning models
A. Royer, Leveraging Structure in Computer Vision Tasks for Flexible Deep Learning Models, Institute of Science and Technology Austria, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/8390
DOI: 10.15479/AT:ISTA:8390

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

Generation of effective zinc-deficient agar-solidified media allows identification of root morphology changes in response to zinc limitation
S.A. Sinclair, U. Krämer, Plant Signaling &; Behavior 15 (2020).
LibreCat: https://research-explorer.ista.ac.at/record/7416
DOI: 10.1080/15592324.2019.1687175
WoS: 000494909300001
PMID: 31696764

Modelled distributions of Triebel–Lizorkin type
S. Hensel, T. Rosati, Studia Mathematica 252 (2020) 251–297.
LibreCat: https://research-explorer.ista.ac.at/record/9196
DOI: 10.4064/sm180411-11-2
WoS: 000558100500002
arXiv: 1709.05202

Structures of immature EIAV Gag lattices reveal a conserved role for I in lentivirus assembly
R.A. Dick, C. Xu, D.R. Morado, V. Kravchuk, C.L. Ricana, T.D. Lyddon, A.M. Broad, J.R. Feathers, M.C. Johnson, V.M. Vogt, J.R. Perilla, J.A.G. Briggs, F.K. Schur, PLOS Pathogens 16 (2020).
LibreCat: https://research-explorer.ista.ac.at/record/7464
DOI: 10.1371/journal.ppat.1008277
WoS: 000510746400010
PMID: 31986188

Limits on amplifiers of natural selection under death-Birth updating
J. Tkadlec, A. Pavlogiannis, K. Chatterjee, M.A. Nowak, PLoS Computational Biology 16 (2020).
LibreCat: https://research-explorer.ista.ac.at/record/7212
DOI: 10.1371/journal.pcbi.1007494
WoS: 000510916500025
arXiv: 1906.02785

A role of graphs in evolutionary processes
J. Tkadlec, A Role of Graphs in Evolutionary Processes, Institute of Science and Technology Austria, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/7196
DOI: 10.15479/AT:ISTA:7196

Landscape connectivity and dropout stability of SGD solutions for over-parameterized neural networks
A. Shevchenko, M. Mondelli, in:, Proceedings of the 37th International Conference on Machine Learning, ML Research Press, 2020, pp. 8773–8784.
LibreCat: https://research-explorer.ista.ac.at/record/9198
arXiv: 1912.10095