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 .
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PMID: 37160366

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 .
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arXiv: 2007.14182

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 .
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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 .
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arXiv: 2201.08090

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 .
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DOI: 10.1093/genetics/iyad133
arXiv: 2211.03515

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 .
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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.
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arXiv: 2302.02390

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.
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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.
LibreCat: https://research-explorer.ista.ac.at/record/14459
arXiv: 2212.13468

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.
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arXiv: 2302.04852

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 .
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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.
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arXiv: 2301.00774

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 .
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arXiv: 2203.04579

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 .
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arXiv: 2202.05088

Henzinger, Thomas A, Konstantin Kueffner, and Kaushik Mallik. “Monitoring Algorithmic Fairness under Partial Observations.”https://doi.org/10.1007/978-3-031-44267-4_15__In 23rd International Conference on Runtime Verification, 14245:291–311. Springer Nature, 2023.https://doi.org/10.1007/978-3-031-44267-4_15 .
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arXiv: 2308.00341

Jakubík, Jozef, Mary Phuong, Martina Chvosteková, and Anna Krakovská. “Against the Flow of Time with Multi-Output Models.”https://doi.org/10.2478/msr-2023-0023__Measurement Science Review. Sciendo, 2023.https://doi.org/10.2478/msr-2023-0023 .
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DOI: 10.2478/msr-2023-0023

Brooks, Morris, and Robert Seiringer. “The Fröhlich Polaron at Strong Coupling: Part I - The Quantum Correction to the Classical Energy.”https://doi.org/10.1007/s00220-023-04841-3__Communications in Mathematical Physics. Springer Nature, 2023.https://doi.org/10.1007/s00220-023-04841-3 .
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arXiv: 2207.03156

Kolmogorov, Vladimir. “Solving Relaxations of MAP-MRF Problems: Combinatorial in-Face Frank-Wolfe Directions.”https://doi.org/10.1109/CVPR52729.2023.01153__In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2023:11980–89. IEEE, 2023.https://doi.org/10.1109/CVPR52729.2023.01153 .
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arXiv: 2010.09567

Lyons, David B., Amy Briffa, Shengbo He, Jaemyung Choi, Elizabeth Hollwey, Jack Colicchio, Ian Anderson, Xiaoqi Feng, Martin Howard, and Daniel Zilberman. “Extensive de Novo Activity Stabilizes Epigenetic Inheritance of CG Methylation in Arabidopsis Transposons.”https://doi.org/10.1016/j.celrep.2023.112132__Cell Reports. Elsevier, 2023.https://doi.org/10.1016/j.celrep.2023.112132 .
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Mitrouskas, David Johannes, Krzysztof Mysliwy, and Robert Seiringer. “Optimal Parabolic Upper Bound for the Energy-Momentum Relation of a Strongly Coupled Polaron.”https://doi.org/10.1017/fms.2023.45__Forum of Mathematics. Cambridge University Press, 2023.https://doi.org/10.1017/fms.2023.45 .
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arXiv: 2203.02454