Please note that ISTA Research Explorer no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
9078 Publications
2020 | Conference Paper | IST-REx-ID: 14188 | 
Locatello, Francesco, et al. “Weakly-Supervised Disentanglement without Compromises.” Proceedings of the 37th International Conference on Machine Learning, vol. 119, 2020, pp. 6348–6359.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2020 | Conference Paper | IST-REx-ID: 14187 |
Négiar, Geoffrey, et al. “Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization.” Proceedings of the 37th International Conference on Machine Learning, vol. 119, 2020, pp. 7253–62.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2020 | Journal Article | IST-REx-ID: 14195 |
Locatello, Francesco, et al. “A Sober Look at the Unsupervised Learning of Disentangled Representations and Their Evaluation.” Journal of Machine Learning Research, vol. 21, 209, MIT Press, 2020.
[Published Version]
View
| Download Published Version (ext.)
| arXiv
2020 | Journal Article | IST-REx-ID: 7569 |
Grah, Rok, and Tamar Friedlander. “The Relation between Crosstalk and Gene Regulation Form Revisited.” PLOS Computational Biology, vol. 16, no. 2, e1007642, Public Library of Science, 2020, doi:10.1371/journal.pcbi.1007642.
[Published Version]
View
| Files available
| DOI
| WoS
2020 | Preprint | IST-REx-ID: 8813 |
Santini, Laura, et al. “Novel Imprints in Mouse Blastocysts Are Predominantly DNA Methylation Independent.” BioRxiv, Cold Spring Harbor Laboratory, doi:10.1101/2020.11.03.366948.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| PubMed | Europe PMC
2020 | Research Data Reference | IST-REx-ID: 9777 |
Grah, Rok, and Tamar Friedlander. Maximizing Crosstalk. Public Library of Science, 2020, doi:10.1371/journal.pcbi.1007642.s002.
View
| Files available
| DOI
| Download None (ext.)
2020 | Thesis | IST-REx-ID: 8332 |
Kragl, Bernhard. Verifying Concurrent Programs: Refinement, Synchronization, Sequentialization. Institute of Science and Technology Austria, 2020, doi:10.15479/AT:ISTA:8332.
[Published Version]
View
| Files available
| DOI
2020 | Conference Paper | IST-REx-ID: 14326 |
Locatello, Francesco, et al. “Object-Centric Learning with Slot Attention.” Advances in Neural Information Processing Systems, vol. 33, Curran Associates, 2020, pp. 11525–38.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2020 | Journal Article | IST-REx-ID: 71 |
Gladbach, Peter, et al. “Scaling Limits of Discrete Optimal Transport.” SIAM Journal on Mathematical Analysis, vol. 52, no. 3, Society for Industrial and Applied Mathematics, 2020, pp. 2759–802, doi:10.1137/19M1243440.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2020 | Journal Article | IST-REx-ID: 5681 |
Hikaru, Ibayashi, et al. “Simulating Liquids on Dynamically Warping Grids.” IEEE Transactions on Visualization and Computer Graphics, vol. 26, no. 6, IEEE, 2020, pp. 2288–302, doi:10.1109/TVCG.2018.2883628.
[Submitted Version]
View
| Files available
| DOI
| WoS
| PubMed | Europe PMC
2020 | Thesis | IST-REx-ID: 8958 |
Li, Xiang. Rotation of Coupled Cold Molecules in the Presence of a Many-Body Environment. Institute of Science and Technology Austria, 2020, doi:10.15479/AT:ISTA:8958.
[Published Version]
View
| Files available
| DOI
2020 | Thesis | IST-REx-ID: 8386 |
Zhang, Ran. Structure-Aware Computational Design and Its Application to 3D Printable Volume Scattering, Mechanism, and Multistability. Institute of Science and Technology Austria, 2020, doi:10.15479/AT:ISTA:8386.
[Published Version]
View
| Files available
| DOI
2020 | Thesis | IST-REx-ID: 7996 |
Kukucka, Josip. Implementation of a Hole Spin Qubit in Ge Hut Wires and Dispersive Spin Sensing. Institute of Science and Technology Austria, 2020, doi:10.15479/AT:ISTA:7996.
[Published Version]
View
| Files available
| DOI
2020 | Conference Paper | IST-REx-ID: 8272 |
Chatterjee, Krishnendu, et al. “Stochastic Games with Lexicographic Reachability-Safety Objectives.” International Conference on Computer Aided Verification, vol. 12225, Springer Nature, 2020, pp. 398–420, doi:10.1007/978-3-030-53291-8_21.
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
2020 | Book Chapter | IST-REx-ID: 7572 |
Dos Santos Caldas, Paulo R., et al. “Computational Analysis of Filament Polymerization Dynamics in Cytoskeletal Networks.” Methods in Cell Biology, edited by Phong Tran, vol. 158, Elsevier, 2020, pp. 145–61, doi:10.1016/bs.mcb.2020.01.006.
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| WoS
2020 | Journal Article | IST-REx-ID: 7387 |
Baranova, Natalia S., et al. “Diffusion and Capture Permits Dynamic Coupling between Treadmilling FtsZ Filaments and Cell Division Proteins.” Nature Microbiology, vol. 5, Springer Nature, 2020, pp. 407–17, doi:10.1038/s41564-019-0657-5.
[Submitted Version]
View
| Files available
| DOI
| Download Submitted Version (ext.)
| WoS
| PubMed | Europe PMC
2020 | Journal Article | IST-REx-ID: 8163 |
Vegter, Gert, and Mathijs Wintraecken. “Refutation of a Claim Made by Fejes Tóth on the Accuracy of Surface Meshes.” Studia Scientiarum Mathematicarum Hungarica, vol. 57, no. 2, Akadémiai Kiadó, 2020, pp. 193–99, doi:10.1556/012.2020.57.2.1454.
[Published Version]
View
| Files available
| DOI
| WoS
2020 | Journal Article | IST-REx-ID: 8671 |
Shakiba, A., et al. “A Note on Belief Structures and S-Approximation Spaces.” Iranian Journal of Mathematical Sciences and Informatics, vol. 15, no. 2, Iranian Academic Center for Education, Culture and Research, 2020, pp. 117–28, doi:10.29252/ijmsi.15.2.117.
[Submitted Version]
View
| Files available
| DOI
| arXiv
2020 | Journal Article | IST-REx-ID: 6359 |
Dareiotis, Konstantinos, and Mate Gerencser. “On the Regularisation of the Noise for the Euler-Maruyama Scheme with Irregular Drift.” Electronic Journal of Probability, vol. 25, 82, Institute of Mathematical Statistics, 2020, doi:10.1214/20-EJP479.
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
2020 | Thesis | IST-REx-ID: 8390 |
Royer, Amélie. Leveraging Structure in Computer Vision Tasks for Flexible Deep Learning Models. Institute of Science and Technology Austria, 2020, doi:10.15479/AT:ISTA:8390.
[Published Version]
View
| Files available
| DOI