Factorization of some polynomials over finite local commutative rings and applications to certain self-dual and LCD codes
S. Köse, F. Özbudak, Cryptography and Communications 14 (2022) 933–948.

Microglia control glutamatergic synapses in the adult mouse hippocampus
B. Basilico, L. Ferrucci, P. Ratano, M.T. Golia, A. Grimaldi, M. Rosito, V. Ferretti, I. Reverte, C. Sanchini, M.C. Marrone, M. Giubettini, V. De Turris, D. Salerno, S. Garofalo, M. StPierre, M. Carrier, M. Renzi, F. Pagani, B. Modi, M. Raspa, F. Scavizzi, C.T. Gross, S. Marinelli, M. Tremblay, D. Caprioli, L. Maggi, C. Limatola, S. Di Angelantonio, D. Ragozzino, Glia 70 (2022) 173–195.

Mode mixing and rotational splittings. I. Near-degeneracy effects revisited
J.M.J. Ong, L.A. Bugnet, S. Basu, The Astrophysical Journal 940 (2022).

Assaying out-of-distribution generalization in transfer learning
F. Wenzel, A. Dittadi, P.V. Gehler, C.-J.S.-G. Carl-Johann Simon-Gabriel, M. Horn, D. Zietlow, D. Kernert, C. Russell, T. Brox, B. Schiele, B. Schölkopf, F. Locatello, in:, 36th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2022, pp. 7181–7198.

Are two heads the same as one? Identifying disparate treatment in fair neural networks
M. Lohaus, M. Kleindessner, K. Kenthapadi, F. Locatello, C. Russell, in:, 36th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2022, pp. 16548–16562.

 Faster one-sample stochastic conditional gradient method for composite convex minimization
G. Dresdner, M.-L. Vladarean, G. Rätsch, F. Locatello, V. Cevher, A. Yurtsever, in:, Proceedings of the 25th International Conference on Artificial Intelligence and Statistics, ML Research Press, 2022, pp. 8439–8457.

Polarons in Bose gases and polar crystals: Some rigorous energy estimates
K. Mysliwy, Polarons in Bose Gases and Polar Crystals: Some Rigorous Energy Estimates, Institute of Science and Technology Austria, 2022.

Polaron models with regular interactions at strong coupling
K. Mysliwy, R. Seiringer, Journal of Statistical Physics 186 (2022).

Graph planning with expected finite horizon
K. Chatterjee, L. Doyen, Journal of Computer and System Sciences 129 (2022) 1–21.

Leveling down in computer vision: Pareto inefficiencies in fair deep classifiers
D. Zietlow, M. Lohaus, G. Balakrishnan, M. Kleindessner, F. Locatello, B. Scholkopf, C. Russell, in:, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Institute of Electrical and Electronics Engineers, 2022, pp. 10400–10411.

Neural attentive circuits
N. Rahaman, M. Weiss, F. Locatello, C. Pal, Y. Bengio, B. Schölkopf, L.E. Li, N. Ballas, in:, 36th Conference on Neural Information Processing Systems, 2022.

Generalization and robustness implications in object-centric learning
A. Dittadi, S. Papa, M.D. Vita, B. Schölkopf, O. Winther, F. Locatello, in:, Proceedings of the 39th International Conference on Machine Learning, ML Research Press, n.d., pp. 5221–5285.

Visual representation learning does not generalize strongly within the  same domain
L. Schott, J. von Kügelgen, F. Träuble, P. Gehler, C. Russell, M. Bethge, B. Schölkopf, F. Locatello, W. Brendel, in:, 10th International Conference on Learning Representations, 2022.

Self-supervised amodal video object segmentation
J. Yao, Y. Hong, C. Wang, T. Xiao, T. He, F. Locatello, D. Wipf, Y. Fu, Z. Zhang, in:, 36th Conference on Neural Information Processing Systems, 2022.

Score matching enables causal discovery of nonlinear additive noise  models
P. Rolland, V. Cevher, M. Kleindessner, C. Russel, B. Schölkopf, D. Janzing, F. Locatello, in:, Proceedings of the 39th International Conference on Machine Learning, ML Research Press, 2022, pp. 18741–18753.

The role of pretrained representations for the OOD generalization of  reinforcement learning agents
A. Dittadi, F. Träuble, M. Wüthrich, F. Widmaier, P. Gehler, O. Winther, F. Locatello, O. Bachem, B. Schölkopf, S. Bauer, in:, 10th International Conference on Learning Representations, 2022.

You mostly walk alone: Analyzing feature attribution in trajectory prediction
O. Makansi, J. von Kügelgen, F. Locatello, P. Gehler, D. Janzing, T. Brox, B. Schölkopf, in:, 10th International Conference on Learning Representations, 2022.

Compositional multi-object reinforcement learning with linear relation networks
D. Mambelli, F. Träuble, S. Bauer, B. Schölkopf, F. Locatello, ArXiv (n.d.).

A general purpose neural architecture for geospatial systems
N. Rahaman, M. Weiss, F. Träuble, F. Locatello, A. Lacoste, Y. Bengio, C. Pal, L.E. Li, B. Schölkopf, in:, 36th Conference on Neural Information Processing Systems, n.d.

Hilbert space fragmentation and slow dynamics in particle-conserving quantum East models
P. Brighi, M. Ljubotina, M. Serbyn, ArXiv (n.d.).