Wilson AC, Sweeney LB. Spinal cords: Symphonies of interneurons across species. Frontiers in Neural Circuits. 2023;17. doi:10.3389/fncir.2023.1146449

Hwong Y-L, Colin M, Aglas P, Muller CJ, Sherwood S. Evaluating memory properties in convection schemes using idealised tests. In: EGU General Assembly 2023. European Geosciences Union; 2023. doi:10.5194/egusphere-egu23-4968

Abramian S, Muller CJ, Risi C. Extreme precipitation in tropical squall lines. In: EGU General Assembly 2023. European Geosciences Union; 2023. doi:10.5194/egusphere-egu23-15870

Banerjee T, Majumdar R, Mallik K, Schmuck A-K, Soudjani S. Fast symbolic algorithms for mega-regular games under strong transition fairness. TheoretiCS. 2023;2. doi:10.46298/theoretics.23.4

Bombari S, Kiyani S, Mondelli M. Beyond the universal law of robustness: Sharper laws for random features and neural tangent kernels. In: Proceedings of the 40th International Conference on Machine Learning. Vol 202. ML Research Press; 2023:2738-2776.

Súkeník P, Mondelli M, Lampert C. Deep neural collapse is provably optimal for the deep unconstrained features model. In: 37th Annual Conference on Neural Information Processing Systems.

Wu D, Kungurtsev V, Mondelli M. Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence. In: Transactions on Machine Learning Research. ML Research Press; 2023.

Shaw T, Buri P, McCarthy M, Miles E, Pellicciotti F. Air temperature and near-surface meteorology datasets on three Swiss glaciers - Extreme 2022 Summer. 2023. doi:10.5281/ZENODO.8277285

Knaus L. The metabolism of the developing brainf: How large neutral amino acids modulate perinatal neuronal excitability and survival. 2023. doi:10.15479/at:ista:13107

Knaus L, Basilico B, Malzl D, et al. Large neutral amino acid levels tune perinatal neuronal excitability and survival. Cell. 2023;186(9):1950-1967.e25. doi:10.1016/j.cell.2023.02.037

Valentini M, Sagi O, Baghumyan L, et al. Radio frequency driven superconducting diode and parity conserving  Cooper pair transport in a two-dimensional germanium hole gas. arXiv. doi:10.48550/arXiv.2306.07109

Burg M, Wenzel F, Zietlow D, et al. Image retrieval outperforms diffusion models on data augmentation. Journal of Machine Learning Research. 2023.

Yao D, Xu D, Lachapelle S, et al. Multi-view causal representation learning with partial observability. arXiv. doi:10.48550/arXiv.2311.04056

Maiorca V, Moschella L, Norelli A, Fumero M, Locatello F, Rodolà E. Latent space translation via semantic alignment. arXiv. doi:10.48550/arXiv.2311.00664

Kori A, Locatello F, Ribeiro FDS, Toni F, Glocker B. Grounded object centric learning. arXiv. doi:10.48550/arXiv.2307.09437

Zhu Z, Locatello F, Cevher V. Sample complexity bounds for score-matching: Causal discovery and generative modeling. arXiv. doi:10.48550/arXiv.2310.18123

Montagna F, Mastakouri AA, Eulig E, et al. Assumption violations in causal discovery and the robustness of score matching. arXiv. doi:10.48550/arXiv.2310.13387

Fumero M, Wenzel F, Zancato L, et al. Leveraging sparse and shared feature activations for disentangled representation learning. arXiv. doi:10.48550/arXiv.2304.07939

Löwe S, Lippe P, Locatello F, Welling M. Rotating features for object discovery. arXiv. doi:10.48550/arXiv.2306.00600

Zhao Z, Wang J, Horn M, et al. Object-centric multiple object tracking. arXiv. doi:10.48550/arXiv.2309.00233