The many ways to assemble nanoparticles using light
T. Bian, Z. Chu, R. Klajn, Advanced Materials 32 (2019).

Reversible switching of arylazopyrazole within a metal–organic cage
A.I. Hanopolskyi, S. De, M.J. Biaek, Y. Diskin-Posner, L. Avram, M. Feller, R. Klajn, Beilstein Journal of Organic Chemistry 15 (2019) 2398–2407.

Polysilsesquioxane nanowire networks as an cArtificial Solventd for reversible operation of photochromic molecules
Z. Chu, R. Klajn, Nano Letters 19 (2019) 7106–7111.

Diamond grows up
M.J. Biaek, R. Klajn, Chem 5 (2019) 2283–2285.

Stimuli-responsive self-assembly of nanoparticles
M. Grzelczak, L.M. Liz-Marzán, R. Klajn, Chemical Society Reviews 48 (2019) 1342–1361.

Supramolecular control of azobenzene switching on nanoparticles
Z. Chu, Y. Han, T. Bian, S. De, P. Král, R. Klajn, Journal of the American Chemical Society 141 (2019) 1949–1960.

The diverse lives of progenitors of hydrogen-rich core-collapse supernovae: The role of binary interaction
E. Zapartas, S.E. de Mink, S. Justham, N. Smith, A. de Koter, M. Renzo, I. Arcavi, R. Farmer, Y.L.L. Götberg, S. Toonen, Astronomy &; Astrophysics 631 (2019).

The impact of stars stripped in binaries on the integrated spectra of stellar populations
Y.L.L. Götberg, S.E. de Mink, J.H. Groh, C. Leitherer, C. Norman, Astronomy &; Astrophysics 629 (2019).

The Wolf–Rayet binaries of the nitrogen sequence in the Large Magellanic Cloud
T. Shenar, D.P. Sablowski, R. Hainich, H. Todt, A.F.J. Moffat, L.M. Oskinova, V. Ramachandran, H. Sana, A.A.C. Sander, O. Schnurr, N. St-Louis, D. Vanbeveren, Y.L.L. Götberg, W.-R. Hamann, Astronomy &; Astrophysics 627 (2019).

Massive runaway and walkaway stars
M. Renzo, E. Zapartas, S.E. de Mink, Y.L.L. Götberg, S. Justham, R.J. Farmer, R.G. Izzard, S. Toonen, H. Sana, Astronomy &; Astrophysics 624 (2019).

No surviving non-compact stellar companion to Cassiopeia A
W.E. Kerzendorf, T. Do, S.E. de Mink, Y.L.L. Götberg, D. Milisavljevic, E. Zapartas, M. Renzo, S. Justham, P. Podsiadlowski, R.A. Fesen, Astronomy &; Astrophysics 623 (2019).

Real-time probing of chirality during a chemical reaction
D.R. Baykusheva, D. Zindel, V. Svoboda, E. Bommeli, M. Ochsner, A. Tehlar, H.J. Wörner, Proceedings of the National Academy of Sciences 116 (2019) 23923–23929.

Probing molecular influence on photoemission delays
S. Biswas, I. Liontos, A.M. Kamal, N.G. Kling, A.F. Alharbi, M. Alharbi, A.M. Azzeer, H.J. Worner, A.S. Landsman, M.F. Kling, B. Forg, J. Schotz, W. Schweinberger, L. Ortmann, T. Zimmermann, L.-W. Pi, D.R. Baykusheva, H.A. Masood, in:, 2019 Conference on Lasers and Electro-Optics Europe &; European Quantum Electronics Conference, Institute of Electrical and Electronics Engineers, 2019.

Disentangling factors of variation using few labels
F. Locatello, M. Tschannen, S. Bauer, G. Rätsch, B. Schölkopf, O. Bachem, in:, 8th International Conference on Learning Representations, 2019.

The incomplete Rosetta Stone problem: Identifiability results for multi-view nonlinear ICA
L. Gresele, P.K. Rubenstein, A. Mehrjou, F. Locatello, B. Schölkopf, in:, Proceedings of the 35th Conference on Uncertainty in Artificial  Intelligence, ML Research Press, 2019, pp. 217–227.

On the transfer of inductive bias from simulation to the real world: a new disentanglement dataset
M.W. Gondal, M. Wüthrich, . Miladinovi, F. Locatello, M. Breidt, V. Volchkov, J. Akpo, O. Bachem, B. Schölkopf, S. Bauer, in:, Advances in Neural Information Processing Systems, 2019.

Stochastic Frank-Wolfe for composite convex minimization
F. Locatello, A. Yurtsever, O. Fercoq, V. Cevher, in:, Advances in Neural Information Processing Systems, 2019, pp. 14291–14301.

Are disentangled representations helpful for abstract visual reasoning?
S. van Steenkiste, F. Locatello, J. Schmidhuber, O. Bachem, in:, Advances in Neural Information Processing Systems, 2019.

On the fairness of disentangled representations
F. Locatello, G. Abbati, T. Rainforth, S. Bauer, B. Schölkopf, O. Bachem, in:, Advances in Neural Information Processing Systems, 2019, pp. 14611–14624.

Challenging common assumptions in the unsupervised learning of disentangled representations
F. Locatello, S. Bauer, M. Lucic, G. Rätsch, S. Gelly, B. Schölkopf, O. Bachem, in:, Proceedings of the 36th International Conference on Machine Learning, ML Research Press, 2019, pp. 4114–4124.