Unterweger, Iris A., et al. “Lineage Tracing Identifies Heterogeneous Hepatoblast Contribution to Cell Lineages and Postembryonic Organ Growth Dynamics.”10.1371/journal.pbio.3002315__PLoS Biology, vol. 21, no. 10, e3002315, Public Library of Science, 2023, doi:10.1371/journal.pbio.3002315.

Dodis, Yevgeniy, et al. “Random Oracle Combiners: Breaking the Concatenation Barrier for Collision-Resistance.”10.1007/978-3-031-38545-2_17__43rd Annual International Cryptology Conference, vol. 14082, Springer Nature, 2023, pp. 514–46, doi:10.1007/978-3-031-38545-2_17.

Diao, Yijie. “Density of the Union of Positive Diagonal Binary Quadratic Forms.”10.4064/aa210830-24-11__Acta Arithmetica, vol. 207, Instytut Matematyczny, 2023, pp. 1–17, doi:10.4064/aa210830-24-11.

Qiu, Liu, et al. “Coherent Optical Control of a Superconducting Microwave Cavity via Electro-Optical Dynamical Back-Action.”10.1038/s41467-023-39493-3__Nature Communications, vol. 14, 3784, Nature Research, 2023, doi:10.1038/s41467-023-39493-3.

Barbier, Jean, et al. “Fundamental Limits in Structured Principal Component Analysis and How to Reach Them.”10.1073/pnas.2302028120__Proceedings of the National Academy of Sciences of the United States of America, vol. 120, no. 30, e2302028120, National Academy of Sciences, 2023, doi:10.1073/pnas.2302028120.

Vardi, Ofek, et al. “Nuclear Spin Effects in Biological Processes.”10.1073/pnas.2300828120__Proceedings of the National Academy of Sciences of the United States of America, vol. 120, no. 32, e2300828120, National Academy of Sciences, 2023, doi:10.1073/pnas.2300828120.

Dubach, Guillaume, and László Erdös. “Dynamics of a Rank-One Perturbation of a Hermitian Matrix.”10.1214/23-ECP516__Electronic Communications in Probability, vol. 28, Institute of Mathematical Statistics, 2023, pp. 1–13, doi:10.1214/23-ECP516.

Cipolloni, Giorgio, et al. “Functional Central Limit Theorems for Wigner Matrices.”10.1214/22-AAP1820__Annals of Applied Probability, vol. 33, no. 1, Institute of Mathematical Statistics, 2023, pp. 447–89, doi:10.1214/22-AAP1820.

Browning, Timothy D., et al. “The Hasse Principle for Random Fano Hypersurfaces.”10.4007/annals.2023.197.3.3__Annals of Mathematics, vol. 197, no. 3, Princeton University, 2023, pp. 1115–203, doi:10.4007/annals.2023.197.3.3.

Mckerral, Jody C., et al. “Empirical Parameterisation and Dynamical Analysis of the Allometric Rosenzweig-MacArthur Equations.”10.1371/journal.pone.0279838__PLoS One, vol. 18, no. 2, Public Library of Science, 2023, p. e0279838, doi:10.1371/journal.pone.0279838.

Eguchi, Kohgaku, et al. “Nanoscale Phosphoinositide Distribution on Cell Membranes of Mouse Cerebellar Neurons.”10.1523/JNEUROSCI.1514-22.2023__The Journal of Neuroscience, vol. 43, no. 23, Society for Neuroscience, 2023, pp. 4197–216, doi:10.1523/JNEUROSCI.1514-22.2023.

Bonolis, Dante, and Timothy D. Browning. “Uniform Bounds for Rational Points on Hyperelliptic Fibrations.”10.2422/2036-2145.202010_018__Annali Della Scuola Normale Superiore Di Pisa - Classe Di Scienze, vol. 24, no. 1, Scuola Normale Superiore - Edizioni della Normale, 2023, pp. 173–204, doi:10.2422/2036-2145.202010_018.

Roos, Barbara. Boundary Superconductivity in BCS Theory. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:14374.

Hainzl, Christian, et al. “Boundary Superconductivity in the BCS Model.”10.4171/JST/439__Journal of Spectral Theory, vol. 12, no. 4, EMS Press, 2023, pp. 1507–1540, doi:10.4171/JST/439.

Barton, Nicholas H., et al. “The Infinitesimal Model with Dominance.”10.1093/genetics/iyad133__Genetics, vol. 225, no. 2, iyad133, Oxford Academic, 2023, doi:10.1093/genetics/iyad133.

Barton, Nicholas H. The Infinitesimal Model with Dominance. Institute of Science and Technology Austria, 2023, doi:10.15479/AT:ISTA:12949.

Markov, Ilia, et al. “Quantized Distributed Training of Large Models with Convergence Guarantees.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 24020–44.

Fichtenberger, Hendrik, et al. “Constant Matters: Fine-Grained Error Bound on Differentially Private Continual Observation.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 10072–92.

Shevchenko, Aleksandr, et al. “Fundamental Limits of Two-Layer Autoencoders, and Achieving Them with Gradient Methods.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 31151–209.

Nikdan, Mahdi, et al. “SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 26215–27.