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7667 Publications


2019 | Published | Journal Article | IST-REx-ID: 13471 | OA
Renzo, M., E. Zapartas, S. E. de Mink, Ylva Louise Linsdotter Götberg, S. Justham, R. J. Farmer, R. G. Izzard, S. Toonen, and H. Sana. “Massive Runaway and Walkaway Stars.” Astronomy & Astrophysics. EDP Sciences, 2019. https://doi.org/10.1051/0004-6361/201833297.
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2019 | Published | Journal Article | IST-REx-ID: 13472 | OA
Kerzendorf, Wolfgang E., Tuan Do, Selma E. de Mink, Ylva Louise Linsdotter Götberg, Dan Milisavljevic, Emmanouil Zapartas, Mathieu Renzo, Stephen Justham, Philipp Podsiadlowski, and Robert A. Fesen. “No Surviving Non-Compact Stellar Companion to Cassiopeia A.” Astronomy & Astrophysics. EDP Sciences, 2019. https://doi.org/10.1051/0004-6361/201732206.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 

2019 | Published | Journal Article | IST-REx-ID: 138 | OA
Nikolic, Nela. “Autoregulation of Bacterial Gene Expression: Lessons from the MazEF Toxin–Antitoxin System.” Current Genetics. Springer, 2019. https://doi.org/10.1007/s00294-018-0879-8.
[Published Version] View | Files available | DOI | WoS
 

2019 | Published | Journal Article | IST-REx-ID: 14001 | OA
Baykusheva, Denitsa Rangelova, Daniel Zindel, Vít Svoboda, Elias Bommeli, Manuel Ochsner, Andres Tehlar, and Hans Jakob Wörner. “Real-Time Probing of Chirality during a Chemical Reaction.” Proceedings of the National Academy of Sciences. Proceedings of the National Academy of Sciences, 2019. https://doi.org/10.1073/pnas.1907189116.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC | arXiv
 

2019 | Published | Conference Paper | IST-REx-ID: 14184 | OA
Locatello, Francesco, Michael Tschannen, Stefan Bauer, Gunnar Rätsch, Bernhard Schölkopf, and Olivier Bachem. “Disentangling Factors of Variation Using Few Labels.” In 8th International Conference on Learning Representations, 2019.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2019 | Published | Conference Paper | IST-REx-ID: 14189 | OA
Gresele, Luigi, Paul K. Rubenstein, Arash Mehrjou, Francesco Locatello, and Bernhard Schölkopf. “The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA.” In Proceedings of the 35th Conference on Uncertainty in Artificial  Intelligence, 115:217–27. ML Research Press, 2019.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2019 | Published | Conference Paper | IST-REx-ID: 14190 | OA
Gondal, Muhammad Waleed, Manuel Wüthrich, Đorđe Miladinović, Francesco Locatello, Martin Breidt, Valentin Volchkov, Joel Akpo, Olivier Bachem, Bernhard Schölkopf, and Stefan Bauer. “On the Transfer of Inductive Bias from Simulation to the Real World: A New Disentanglement Dataset.” In Advances in Neural Information Processing Systems, Vol. 32, 2019.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2019 | Published | Conference Paper | IST-REx-ID: 14191 | OA
Locatello, Francesco, Alp Yurtsever, Olivier Fercoq, and Volkan Cevher. “Stochastic Frank-Wolfe for Composite Convex Minimization.” In Advances in Neural Information Processing Systems, 32:14291–14301, 2019.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2019 | Published | Conference Paper | IST-REx-ID: 14193 | OA
Steenkiste, Sjoerd van, Francesco Locatello, Jürgen Schmidhuber, and Olivier Bachem. “Are Disentangled Representations Helpful for Abstract Visual Reasoning?” In Advances in Neural Information Processing Systems, Vol. 32, 2019.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2019 | Published | Conference Paper | IST-REx-ID: 14197 | OA
Locatello, Francesco, Gabriele Abbati, Tom Rainforth, Stefan Bauer, Bernhard Schölkopf, and Olivier Bachem. “On the Fairness of Disentangled Representations.” In Advances in Neural Information Processing Systems, 32:14611–14624, 2019.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2019 | Published | Conference Paper | IST-REx-ID: 14200 | OA
Locatello, Francesco, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, and Olivier Bachem. “Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations.” In Proceedings of the 36th International Conference on Machine Learning, 97:4114–24. ML Research Press, 2019.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2019 | Published | Journal Article | IST-REx-ID: 14299 | OA
FAS, Engelhardt, Florian M Praetorius, CH Wachauf, G Brüggenthies, F Kohler, B Kick, KL Kadletz, et al. “Custom-Size, Functional, and Durable DNA Origami with Design-Specific Scaffolds.” ACS Nano. ACS Publications, 2019. https://doi.org/10.1021/acsnano.9b01025.
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2019 | Published | Journal Article | IST-REx-ID: 17916 | OA
Zang, Yaping, Qi Zou, Tianren Fu, Fay Ng, Brandon Fowler, Jingjing Yang, Hexing Li, Michael L. Steigerwald, Colin Nuckolls, and Latha Venkataraman. “Directing Isomerization Reactions of Cumulenes with Electric Fields.” Nature Communications. Springer Nature, 2019. https://doi.org/10.1038/s41467-019-12487-w.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 

2019 | Published | Journal Article | IST-REx-ID: 17924 | OA
Fu, Tianren, Shanelle Smith, María Camarasa-Gómez, Xiaofang Yu, Jiayi Xue, Colin Nuckolls, Ferdinand Evers, Latha Venkataraman, and Sujun Wei. “Enhanced Coupling through π-Stacking in Imidazole-Based Molecular Junctions.” Chemical Science. Royal Society of Chemistry, 2019. https://doi.org/10.1039/c9sc03760h.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 

2019 | Published | Journal Article | IST-REx-ID: 18195 | OA
Rispoli, Matthew, Alexander Lukin, Robert Schittko, Sooshin Kim, M. Eric Tai, Julian Leonard, and Markus Greiner. “Quantum Critical Behaviour at the Many-Body Localization Transition.” Nature. Springer Nature, 2019. https://doi.org/10.1038/s41586-019-1527-2.
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 

2019 | Published | Journal Article | IST-REx-ID: 18196 | OA
Lukin, Alexander, Matthew Rispoli, Robert Schittko, M. Eric Tai, Adam M. Kaufman, Soonwon Choi, Vedika Khemani, Julian Leonard, and Markus Greiner. “Probing Entanglement in a Many-Body–Localized System.” Science. American Association for the Advancement of Science, 2019. https://doi.org/10.1126/science.aau0818.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2019 | Published | Conference Paper | IST-REx-ID: 18256 | OA
Diamant, Nir, Dean Zadok, Chaim Baskin, Eli Schwartz, and Alex M. Bronstein. “Beholder-Gan: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level.” In 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019. https://doi.org/10.1109/icip.2019.8803807.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2019 | Published | Conference Paper | IST-REx-ID: 18257 | OA
Rampini, Arianna, Irene Tallini, Maks Ovsjanikov, Alex M. Bronstein, and Emanuele Rodola. “Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment.” In 2019 International Conference on 3D Vision (3DV). IEEE, 2019. https://doi.org/10.1109/3dv.2019.00014.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2019 | Published | Conference Paper | IST-REx-ID: 18261 | OA
Tsitsulin, Anton, Davide Mottin, Panagiotis Karras, Alex M. Bronstein, and Emmanuel Müller. “Spectral Graph Complexity.” In Companion Proceedings of The 2019 World Wide Web Conference, 308–9. ACM, 2019. https://doi.org/10.1145/3308560.3316589.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2019 | Published | Conference Paper | IST-REx-ID: 18262 | OA
Pai, Gautam, Ronen Talmon, Alex M. Bronstein, and Ron Kimmel. “DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling.” In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2019. https://doi.org/10.1109/wacv.2019.00092.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

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