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547 Publications


2019 | Published | Journal Article | IST-REx-ID: 13372 | OA
Grzelczak M, Liz-Marzán LM, Klajn R. Stimuli-responsive self-assembly of nanoparticles. Chemical Society Reviews. 2019;48(5):1342-1361. doi:10.1039/c8cs00787j
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2019 | Published | Journal Article | IST-REx-ID: 13373
Chu Z, Han Y, Bian T, De S, Král P, Klajn R. Supramolecular control of azobenzene switching on nanoparticles. Journal of the American Chemical Society. 2019;141(5):1949-1960. doi:10.1021/jacs.8b09638
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2019 | Published | Journal Article | IST-REx-ID: 13468 | OA
Zapartas E, de Mink SE, Justham S, et al. The diverse lives of progenitors of hydrogen-rich core-collapse supernovae: The role of binary interaction. Astronomy & Astrophysics. 2019;631. doi:10.1051/0004-6361/201935854
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2019 | Published | Journal Article | IST-REx-ID: 13469 | OA
Götberg YLL, de Mink SE, Groh JH, Leitherer C, Norman C. The impact of stars stripped in binaries on the integrated spectra of stellar populations. Astronomy & Astrophysics. 2019;629. doi:10.1051/0004-6361/201834525
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2019 | Published | Journal Article | IST-REx-ID: 13470 | OA
Shenar T, Sablowski DP, Hainich R, et al. The Wolf–Rayet binaries of the nitrogen sequence in the Large Magellanic Cloud. Astronomy & Astrophysics. 2019;627. doi:10.1051/0004-6361/201935684
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2019 | Published | Journal Article | IST-REx-ID: 13471 | OA
Renzo M, Zapartas E, de Mink SE, et al. Massive runaway and walkaway stars. Astronomy & Astrophysics. 2019;624. doi:10.1051/0004-6361/201833297
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2019 | Published | Journal Article | IST-REx-ID: 13472 | OA
Kerzendorf WE, Do T, de Mink SE, et al. No surviving non-compact stellar companion to Cassiopeia A. Astronomy & Astrophysics. 2019;623. doi:10.1051/0004-6361/201732206
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2019 | Published | Journal Article | IST-REx-ID: 138 | OA
Nikolic N. Autoregulation of bacterial gene expression: lessons from the MazEF toxin–antitoxin system. Current Genetics. 2019;65(1):133-138. doi:10.1007/s00294-018-0879-8
[Published Version] View | Files available | DOI | WoS
 

2019 | Published | Journal Article | IST-REx-ID: 14001 | OA
Baykusheva DR, Zindel D, Svoboda V, et al. Real-time probing of chirality during a chemical reaction. Proceedings of the National Academy of Sciences. 2019;116(48):23923-23929. doi:10.1073/pnas.1907189116
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2019 | Published | Conference Paper | IST-REx-ID: 14002
Biswas S, Liontos I, Kamal AM, et al. Probing molecular influence on photoemission delays. In: 2019 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference. Institute of Electrical and Electronics Engineers; 2019. doi:10.1109/cleoe-eqec.2019.8871819
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2019 | Published | Conference Paper | IST-REx-ID: 14184 | OA
Locatello F, Tschannen M, Bauer S, Rätsch G, Schölkopf B, Bachem O. Disentangling factors of variation using few labels. In: 8th International Conference on Learning Representations. ; 2019.
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2019 | Published | Conference Paper | IST-REx-ID: 14189 | OA
Gresele L, Rubenstein PK, Mehrjou A, Locatello F, Schölkopf B. The incomplete Rosetta Stone problem: Identifiability results for multi-view nonlinear ICA. In: Proceedings of the 35th Conference on Uncertainty in Artificial  Intelligence. Vol 115. ML Research Press; 2019:217-227.
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2019 | Published | Conference Paper | IST-REx-ID: 14190 | OA
Gondal MW, Wüthrich M, Miladinović Đ, 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. Vol 32. ; 2019.
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2019 | Published | Conference Paper | IST-REx-ID: 14191 | OA
Locatello F, Yurtsever A, Fercoq O, Cevher V. Stochastic Frank-Wolfe for composite convex minimization. In: Advances in Neural Information Processing Systems. Vol 32. ; 2019:14291–14301.
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2019 | Published | Conference Paper | IST-REx-ID: 14193 | OA
Steenkiste S van, Locatello F, Schmidhuber J, Bachem O. Are disentangled representations helpful for abstract visual reasoning? In: Advances in Neural Information Processing Systems. Vol 32. ; 2019.
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2019 | Published | Conference Paper | IST-REx-ID: 14197 | OA
Locatello F, Abbati G, Rainforth T, Bauer S, Schölkopf B, Bachem O. On the fairness of disentangled representations. In: Advances in Neural Information Processing Systems. Vol 32. ; 2019:14611–14624.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2019 | Published | Conference Paper | IST-REx-ID: 14200 | OA
Locatello F, Bauer S, Lucic M, et al. Challenging common assumptions in the unsupervised learning of disentangled representations. In: Proceedings of the 36th International Conference on Machine Learning. Vol 97. ML Research Press; 2019:4114-4124.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2019 | Published | Journal Article | IST-REx-ID: 14299 | OA
FAS E, Praetorius FM, Wachauf C, et al. Custom-size, functional, and durable DNA origami with design-specific scaffolds. ACS Nano. 2019;13(5):5015-5027. doi:10.1021/acsnano.9b01025
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2019 | Published | Journal Article | IST-REx-ID: 9016 | OA
Bakail MM, Rodriguez‐Marin S, Hegedüs Z, Perrin ME, Ochsenbein F, Wilson AJ. Recognition of ASF1 by using hydrocarbon‐constrained peptides. ChemBioChem. 2019;20(7):891-895. doi:10.1002/cbic.201800633
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2019 | Published | Journal Article | IST-REx-ID: 9018 | OA
Bakail MM, Gaubert A, Andreani J, Moal G, Pinna G, Boyarchuk E, Gaillard M-C, Courbeyrette R, Mann C, Thuret J-Y, Guichard B, Murciano B, Richet N, Poitou A, Frederic C, Le Du M-H, Agez M, Roelants C, Gurard-Levin ZA, Almouzni G, Cherradi N, Guerois R, Ochsenbein F. 2019. Design on a rational basis of high-affinity peptides inhibiting the histone chaperone ASF1. Cell Chemical Biology. 26(11), 1573–1585.e10.
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