Boosting variational inference with locally adaptive step-sizes
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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.

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

Local strong Birkhoff conjecture and local spectral rigidity of almost every ellipse
I. Koval, 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.

Loss of Hem1 disrupts macrophage function and impacts migration, phagocytosis, and integrin-mediated adhesion
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PIPEcloned human IgE and Ig antibodies: New tools for investigating cow's milk allergy and tolerance
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Using replicate hybrid zones to understand the genomic basis of adaptive divergence
A.M. Westram, R. Faria, K. Johannesson, R. Butlin, Molecular Ecology 30 (2021) 3797–3814.

Solving partially observable stochastic shortest-path games
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The polaron at strong coupling
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A scalable concurrent algorithm for dynamic connectivity
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Input-dynamic distributed algorithms for communication networks
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Input-dynamic distributed algorithms for communication networks
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On the volume of sections of the cube
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Enhanced thermoelectric performance of n-type Bi2Se3 nanosheets through Sn doping
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Tight frames and related geometric problems
G. Ivanov, Canadian Mathematical Bulletin 64 (2021) 942–963.

Quantifying the coexistence of neuronal oscillations and avalanches
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Identification of long-lived proteins in the mitochondria reveals increased stability of the electron transport chain
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The San Diego Nathan Shock Center: Tackling the heterogeneity of aging
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Asynchronous optimization methods for efficient training of deep neural networks with guarantees
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