All-optical probe of three-dimensional topological insulators based on high-harmonic generation by circularly polarized laser fields
D.R. Baykusheva, A. Chacón, J. Lu, T.P. Bailey, J.A. Sobota, H. Soifer, P.S. Kirchmann, C. Rotundu, C. Uher, T.F. Heinz, D.A. Reis, S. Ghimire, Nano Letters 21 (2021) 8970–8978.

Strong-field physics in three-dimensional topological insulators
D.R. Baykusheva, A. Chacón, D. Kim, D.E. Kim, D.A. Reis, S. Ghimire, Physical Review A 103 (2021).

Science with the ultraviolet explorer (UVEX)
S.R. Kulkarni, F.A. Harrison, B.W. Grefenstette, H.P. Earnshaw, I. Andreoni, D.A. Berg, J.S. Bloom, S.B. Cenko, R. Chornock, J.L. Christiansen, M.W. Coughlin, A.W. Criswell, B. Darvish, K.K. Das, K. De, L. Dessart, D. Dixon, B. Dorsman, K.E.-B. Kareem El-Badry, C. Evans, K.E.S. Ford, C. Fremling, B.T. Gansicke, S. Gezari, Y.L.L. Götberg, G.M. Green, M.J. Graham, M. Heida, A.Y.Q. Ho, A.D. Jaodand, C.M.J.-K. Christopher M. Johns-Krull, M.M. Kasliwal, M. Lazzarini, W. Lu, R. Margutti, D.C. Martin, D.C. Masters, B. McKernan, Y. Naze, S.M. Nissanke, B. Parazin, D.A. Perley, E.S. Phinney, A.L. Piro, G. Raaijmakers, G. Rauw, A.C. Rodriguez, H. Sana, P. Senchyna, L.P. Singer, J.J. Spake, K.G. Stassun, D. Stern, H.I. Teplitz, D.R. Weisz, Y. Yao, ArXiv (n.d.).

Toward causal representation learning
B. Scholkopf, F. Locatello, S. Bauer, N.R. Ke, N. Kalchbrenner, A. Goyal, Y. Bengio, Proceedings of the IEEE 109 (2021) 612–634.

Neighborhood contrastive learning applied to online patient monitoring
H. Yèche, G. Dresdner, F. Locatello, M. Hüser, G. Rätsch, in:, Proceedings of 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 11964–11974.

On disentangled representations learned from correlated data
F. Träuble, E. Creager, N. Kilbertus, F. Locatello, A. Dittadi, A. Goyal, B. Schölkopf, S. Bauer, in:, Proceedings of the 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 10401–10412.

On the transfer of disentangled representations in realistic settings
A. Dittadi, F. Träuble, F. Locatello, M. Wüthrich, V. Agrawal, O. Winther, S. Bauer, B. Schölkopf, in:, The Ninth International Conference on Learning Representations, 2021.

Self-supervised learning with data augmentations provably isolates content from style
J. von Kügelgen, Y. Sharma, L. Gresele, W. Brendel, B. Schölkopf, M. Besserve, F. Locatello, in:, Advances in Neural Information Processing Systems, 2021, pp. 16451–16467.

Dynamic inference with neural interpreters
N. Rahaman, M.W. Gondal, S. Joshi, P. Gehler, Y. Bengio, F. Locatello, B. Schölkopf, in:, Advances in Neural Information Processing Systems, 2021, pp. 10985–10998.

Boosting variational inference with locally adaptive step-sizes
G. Dresdner, S. Shekhar, F. Pedregosa, F. Locatello, G. Rätsch, in:, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, 2021, pp. 2337–2343.

Backward-compatible prediction updates: A probabilistic approach
F. Träuble, J. von Kügelgen, M. Kleindessner, F. Locatello, B. Schölkopf, P. Gehler, in:, 35th Conference on Neural Information Processing Systems, 2021, pp. 116–128.

Object-centric learning with slot attention
D. Weissenborn, J. Uszkoreit, T. Unterthiner, A. Mahendran, F. Locatello, T. Kipf, G. Heigold, A. Dosovitskiy, (2021).

Enforcing and discovering structure in machine learning
F. Locatello, ArXiv (n.d.).

Representation learning for out-of-distribution generalization in reinforcement learning
F. Träuble, A. Dittadi, M. Wuthrich, F. Widmaier, P.V. Gehler, O. Winther, F. Locatello, O. Bachem, B. Schölkopf, S. Bauer, in:, ICML 2021 Workshop on Unsupervised Reinforcement Learning, 2021.

Single-molecule junction formation in break-junction measurements
T. Fu, K. Frommer, C. Nuckolls, L. Venkataraman, The Journal of Physical Chemistry Letters 12 (2021) 10802–10807.

A single-molecule blueprint for synthesis
I. Stone, R.L. Starr, Y. Zang, C. Nuckolls, M.L. Steigerwald, T.H. Lambert, X. Roy, L. Venkataraman, Nature Reviews Chemistry 5 (2021) 695–710.

Destructive quantum interference in heterocyclic alkanes: The search for ultra-short molecular insulators
B. Zhang, M.H. Garner, L. Li, L.M. Campos, G.C. Solomon, L. Venkataraman, Chemical Science 12 (2021) 10299–10305.

Highly nonlinear transport across single-molecule junctions via destructive quantum interference
J.E. Greenwald, J. Cameron, N.J. Findlay, T. Fu, S. Gunasekaran, P.J. Skabara, L. Venkataraman, Nature Nanotechnology 16 (2021) 313–317.

Single-molecule conductance in a unique cross-conjugated tetra(aminoaryl)ethene
S. Medina Rivero, P. García Arroyo, L. Li, S. Gunasekaran, T. Stuyver, M.J. Mancheño, M. Alonso, L. Venkataraman, J.L. Segura, J. Casado, Chemical Communications 57 (2021) 591–594.

Analyzing nonequilibrium quantum states through snapshots with artificial neural networks
A. Bohrdt, S. Kim, A. Lukin, M. Rispoli, R. Schittko, M. Knap, M. Greiner, J. Leonard, Physical Review Letters 127 (2021).