Autoregulation of bacterial gene expression: lessons from the MazEF toxin–antitoxin system
N. Nikolic, Current Genetics 65 (2019) 133–138.

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.

Custom-size, functional, and durable DNA origami with design-specific scaffolds
E. FAS, F.M. Praetorius, C. Wachauf, G. Brüggenthies, F. Kohler, B. Kick, K. Kadletz, P. Pham, K. Behler, T. Gerling, H. Dietz, ACS Nano 13 (2019) 5015–5027.

Recognition of AS by using hydrocarbonconstrained peptides
M.M. Bakail, S. RodriguezMarin, Z. Hegedüs, M.E. Perrin, F. Ochsenbein, A.J. Wilson, ChemBioChem 20 (2019) 891–895.

Design on a rational basis of high-affinity peptides inhibiting the histone chaperone AS
M.M. Bakail, A. Gaubert, J. Andreani, G. Moal, G. Pinna, E. Boyarchuk, M.-C. Gaillard, R. Courbeyrette, C. Mann, J.-Y. Thuret, B. Guichard, B. Murciano, N. Richet, A. Poitou, C. Frederic, M.-H. Le Du, M. Agez, C. Roelants, Z.A. Gurard-Levin, G. Almouzni, N. Cherradi, R. Guerois, F. Ochsenbein, Cell Chemical Biology 26 (2019) 1573–1585.e10.

Activity-controlled annealing of colloidal monolayers
S. Ramananarivo, E. Ducrot, J.A. Palacci, Nature Communications 10 (2019).

FlexMaps Pavilion: A twisted arc made of mesostructured flat flexible panels
F. Laccone, L. Malomo, J. Perez Rodriguez, N. Pietroni, F. Ponchio, B. Bickel, P. Cignoni, in:, IASS Symposium 2019 - 60th Anniversary Symposium of the International Association for Shell and Spatial Structures; Structural Membranes 2019 - 9th International Conference on Textile Composites and Inflatable Structures, FORM and FORCE, International Center for Numerical Methods in Engineering, 2019, pp. 509–515.

DNA demethylation by ROa in rice vegetative cells promotes methylation in sperm
M.Y. Kim, A. Ono, S. Scholten, T. Kinoshita, D. Zilberman, T. Okamoto, R.L. Fischer, Proceedings of the National Academy of Sciences 116 (2019) 9652–9657.

DNA methylation is maintained with high fidelity in the honey bee germline and exhibits global non-functional fluctuations during somatic development
K.D. Harris, J.P.B. Lloyd, K. Domb, D. Zilberman, A. Zemach, Epigenetics and Chromatin 12 (2019).

Hypergraph cuts above the average
D. Conlon, J. Fox, M.A. Kwan, B. Sudakov, Israel Journal of Mathematics 233 (2019) 67–111.

Proof of a conjecture on induced subgraphs of Ramsey graphs
M.A. Kwan, B. Sudakov, Transactions of the American Mathematical Society 372 (2019) 5571–5594.

Anticoncentration for subgraph statistics
M.A. Kwan, B. Sudakov, T. Tran, Journal of the London Mathematical Society 99 (2019) 757–777.