Dubach, Guillaume, and László Erdös. “Dynamics of a Rank-One Perturbation of a Hermitian Matrix.”https://doi.org/10.1214/23-ECP516__Electronic Communications in Probability. Institute of Mathematical Statistics, 2023.https://doi.org/10.1214/23-ECP516 .

Cipolloni, Giorgio, László Erdös, and Dominik J Schröder. “Functional Central Limit Theorems for Wigner Matrices.”https://doi.org/10.1214/22-AAP1820__Annals of Applied Probability. Institute of Mathematical Statistics, 2023.https://doi.org/10.1214/22-AAP1820 .

Browning, Timothy D, Pierre Le Boudec, and Will Sawin. “The Hasse Principle for Random Fano Hypersurfaces.”https://doi.org/10.4007/annals.2023.197.3.3__Annals of Mathematics. Princeton University, 2023.https://doi.org/10.4007/annals.2023.197.3.3 .

Mckerral, Jody C., Maria Kleshnina, Vladimir Ejov, Louise Bartle, James G. Mitchell, and Jerzy A. Filar. “Empirical Parameterisation and Dynamical Analysis of the Allometric Rosenzweig-MacArthur Equations.”https://doi.org/10.1371/journal.pone.0279838__PLoS One. Public Library of Science, 2023.https://doi.org/10.1371/journal.pone.0279838 .

Eguchi, Kohgaku, Elodie Le Monnier, and Ryuichi Shigemoto. “Nanoscale Phosphoinositide Distribution on Cell Membranes of Mouse Cerebellar Neurons.”https://doi.org/10.1523/JNEUROSCI.1514-22.2023__The Journal of Neuroscience. Society for Neuroscience, 2023.https://doi.org/10.1523/JNEUROSCI.1514-22.2023 .

Bonolis, Dante, and Timothy D Browning. “Uniform Bounds for Rational Points on Hyperelliptic Fibrations.”https://doi.org/10.2422/2036-2145.202010_018__Annali Della Scuola Normale Superiore Di Pisa - Classe Di Scienze. Scuola Normale Superiore - Edizioni della Normale, 2023.https://doi.org/10.2422/2036-2145.202010_018 .

Confavreux, Basile J. “Synapseek: Meta-Learning Synaptic Plasticity Rules.”https://doi.org/10.15479/at:ista:14422__Institute of Science and Technology Austria, 2023.https://doi.org/10.15479/at:ista:14422 .

Roos, Barbara. “Boundary Superconductivity in BCS Theory.”https://doi.org/10.15479/at:ista:14374__Institute of Science and Technology Austria, 2023.https://doi.org/10.15479/at:ista:14374 .

Hainzl, Christian, Barbara Roos, and Robert Seiringer. “Boundary Superconductivity in the BCS Model.”https://doi.org/10.4171/JST/439__Journal of Spectral Theory. EMS Press, 2023.https://doi.org/10.4171/JST/439 .

Barton, Nicholas H, Alison M. Etheridge, and Amandine Véber. “The Infinitesimal Model with Dominance.”https://doi.org/10.1093/genetics/iyad133__Genetics. Oxford Academic, 2023.https://doi.org/10.1093/genetics/iyad133 .

Barton, Nicholas H. “The Infinitesimal Model with Dominance.”https://doi.org/10.15479/AT:ISTA:12949__Institute of Science and Technology Austria, 2023.https://doi.org/10.15479/AT:ISTA:12949 .

Markov, Ilia, Adrian Vladu, Qi Guo, and Dan-Adrian Alistarh. “Quantized Distributed Training of Large Models with Convergence Guarantees.” In Proceedings of the 40th International Conference on Machine Learning, 202:24020–44. ML Research Press, 2023.

Fichtenberger, Hendrik, Monika H Henzinger, and Jalaj Upadhyay. “Constant Matters: Fine-Grained Error Bound on Differentially Private Continual Observation.” In Proceedings of the 40th International Conference on Machine Learning, 202:10072–92. ML Research Press, 2023.

Shevchenko, Aleksandr, Kevin Kögler, Hamed Hassani, and Marco Mondelli. “Fundamental Limits of Two-Layer Autoencoders, and Achieving Them with Gradient Methods.” In Proceedings of the 40th International Conference on Machine Learning, 202:31151–209. ML Research Press, 2023.

Nikdan, Mahdi, Tommaso Pegolotti, Eugenia B Iofinova, Eldar Kurtic, and Dan-Adrian Alistarh. “SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge.” In Proceedings of the 40th International Conference on Machine Learning, 202:26215–27. ML Research Press, 2023.

Hoffmann, Charlotte, and Mark Simkin. “Stronger Lower Bounds for Leakage-Resilient Secret Sharing.”https://doi.org/10.1007/978-3-031-44469-2_11__In 8th International Conference on Cryptology and Information Security in Latin America, 14168:215–28. Springer Nature, 2023.https://doi.org/10.1007/978-3-031-44469-2_11 .

Frantar, Elias, and Dan-Adrian Alistarh. “SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot.” In Proceedings of the 40th International Conference on Machine Learning, 202:10323–37. ML Research Press, 2023.

Cornalba, Federico, Constantin Disselkamp, Davide Scassola, and Christopher Helf. “Multi-Objective Reward Generalization: Improving Performance of Deep Reinforcement Learning for Applications in Single-Asset Trading.”https://doi.org/10.1007/s00521-023-09033-7__Neural Computing and Applications. Springer Nature, 2023.https://doi.org/10.1007/s00521-023-09033-7 .

Rojas Vega, Mauricio Nicolas, Pablo De Castro, and Rodrigo Soto. “Mixtures of Self-Propelled Particles Interacting with Asymmetric Obstacles.”https://doi.org/10.1140/epje/s10189-023-00354-y__The European Physical Journal E. Springer Nature, 2023.https://doi.org/10.1140/epje/s10189-023-00354-y .

Kwan, Matthew Alan, Ashwin Sah, Mehtaab Sawhney, and Michael Simkin. “Substructures in Latin Squares.”https://doi.org/10.1007/s11856-023-2513-9__Israel Journal of Mathematics. Springer Nature, 2023.https://doi.org/10.1007/s11856-023-2513-9 .