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8915 Publications
2019 | Published | Journal Article | IST-REx-ID: 7451 | 
A. Vukics, A. Dombi, J. M. Fink, and P. Domokos, “Finite-size scaling of the photon-blockade breakdown dissipative quantum phase transition,” Quantum, vol. 3. Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften, 2019.
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| arXiv
2019 | Published | Book Chapter | IST-REx-ID: 7453 |
R. Alur, M. Giacobbe, T. A. Henzinger, K. G. Larsen, and M. Mikučionis, “Continuous-time models for system design and analysis,” in Computing and Software Science, vol. 10000, B. Steffen and G. Woeginger, Eds. Springer Nature, 2019, pp. 452–477.
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2019 | Published | Conference Paper | IST-REx-ID: 7468 |
P. Swoboda and V. Kolmogorov, “Map inference via block-coordinate Frank-Wolfe algorithm,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Long Beach, CA, United States, 2019, vol. 2019–June.
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2019 | Published | Journal Article | IST-REx-ID: 7476 |
M. S. Andersen et al., “Tracing the cellular dynamics of sebaceous gland development in normal and perturbed states,” Nature Cell Biology, vol. 21, no. 8. Springer Nature, pp. 924–932, 2019.
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| PubMed | Europe PMC
2019 | Published | Conference Paper | IST-REx-ID: 7479 |
M. Phuong and C. Lampert, “Distillation-based training for multi-exit architectures,” in IEEE International Conference on Computer Vision, Seoul, Korea, 2019, vol. 2019–October, pp. 1355–1364.
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2019 | Draft | Preprint | IST-REx-ID: 7524 |
A. Deuchert, S. Mayer, and R. Seiringer, “The free energy of the two-dimensional dilute Bose gas. I. Lower bound,” arXiv:1910.03372. ArXiv.
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2019 | Published | Conference Paper | IST-REx-ID: 7542 |
C. Wendler, D.-A. Alistarh, and M. Püschel, “Powerset convolutional neural networks,” presented at the NIPS: Conference on Neural Information Processing Systems, Vancouver, Canada, 2019, vol. 32, pp. 927–938.
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2019 | Published | Journal Article | IST-REx-ID: 14001 |
D. R. Baykusheva et al., “Real-time probing of chirality during a chemical reaction,” Proceedings of the National Academy of Sciences, vol. 116, no. 48. Proceedings of the National Academy of Sciences, pp. 23923–23929, 2019.
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2019 | Published | Conference Paper | IST-REx-ID: 14184 |
F. Locatello, M. Tschannen, S. Bauer, G. Rätsch, B. Schölkopf, and O. Bachem, “Disentangling factors of variation using few labels,” in 8th International Conference on Learning Representations, Virtual, 2019.
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2019 | Published | Conference Paper | IST-REx-ID: 14189 |
L. Gresele, P. K. Rubenstein, A. Mehrjou, F. Locatello, and B. Schölkopf, “The incomplete Rosetta Stone problem: Identifiability results for multi-view nonlinear ICA,” in Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence, Tel Aviv, Israel, 2019, vol. 115, pp. 217–227.
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2019 | Published | Conference Paper | IST-REx-ID: 14190 |
M. W. Gondal et al., “On the transfer of inductive bias from simulation to the real world: a new disentanglement dataset,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2019, vol. 32.
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2019 | Published | Conference Paper | IST-REx-ID: 14191 |
F. Locatello, A. Yurtsever, O. Fercoq, and V. Cevher, “Stochastic Frank-Wolfe for composite convex minimization,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2019, vol. 32, pp. 14291–14301.
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2019 | Published | Conference Paper | IST-REx-ID: 14193 |
S. van Steenkiste, F. Locatello, J. Schmidhuber, and O. Bachem, “Are disentangled representations helpful for abstract visual reasoning?,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2019, vol. 32.
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2019 | Published | Conference Paper | IST-REx-ID: 14197 |
F. Locatello, G. Abbati, T. Rainforth, S. Bauer, B. Schölkopf, and O. Bachem, “On the fairness of disentangled representations,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2019, vol. 32, pp. 14611–14624.
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2019 | Published | Conference Paper | IST-REx-ID: 14200 |
F. Locatello et al., “Challenging common assumptions in the unsupervised learning of disentangled representations,” in Proceedings of the 36th International Conference on Machine Learning, Long Beach, CA, United States, 2019, vol. 97, pp. 4114–4124.
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2019 | Published | Journal Article | IST-REx-ID: 14299 |
E. FAS et al., “Custom-size, functional, and durable DNA origami with design-specific scaffolds,” ACS Nano, vol. 13, no. 5. ACS Publications, pp. 5015–5027, 2019.
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2019 | Published | Journal Article | IST-REx-ID: 151 |
J. L. Fischer and O. Kneuss, “Bi-Sobolev solutions to the prescribed Jacobian inequality in the plane with L p data and applications to nonlinear elasticity,” Journal of Differential Equations, vol. 266, no. 1. Elsevier, pp. 257–311, 2019.
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