Hirashima, Tsuyoshi, Naoya Hino, Kazuhiro Aoki, and Michiyuki Matsuda. “Stretching the Limits of Extracellular Signal-Related Kinase (ERK) Signaling — Cell Mechanosensing to ERK Activation.”https://doi.org/10.1016/j.ceb.2023.102217__Current Opinion in Cell Biology. Elsevier, 2023.https://doi.org/10.1016/j.ceb.2023.102217 .
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Fang, Lixing, Hao Huang, János Pach, Gábor Tardos, and Junchi Zuo. “Successive Vertex Orderings of Fully Regular Graphs.”https://doi.org/10.1016/j.jcta.2023.105776__Journal of Combinatorial Theory. Series A. Elsevier, 2023.https://doi.org/10.1016/j.jcta.2023.105776 .
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arXiv: 2206.13592

Baunis, Haralds, and Bartholomäus Pieber. “Formal Radical Deoxyfluorination of Oxalate-Activated Alcohols Triggered by the Selectfluor-DMAP Charge-Transfer Complex.”https://doi.org/10.1002/ejoc.202300769__European Journal of Organic Chemistry. Wiley, 2023.https://doi.org/10.1002/ejoc.202300769 .
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Seiringer, Robert, and Jan Philip Solovej. “A Simple Approach to Lieb-Thirring Type Inequalities.”https://doi.org/10.1016/j.jfa.2023.110129__Journal of Functional Analysis. Elsevier, 2023.https://doi.org/10.1016/j.jfa.2023.110129 .
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DOI: 10.1016/j.jfa.2023.110129
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arXiv: 2303.04504

Castellano, Ilaria, Anna Giordano Bruno, and Nicolò Zava. “Weakly Weighted Generalised Quasi-Metric Spaces and Semilattices.”https://doi.org/10.1016/j.tcs.2023.114129__Theoretical Computer Science. Elsevier, 2023.https://doi.org/10.1016/j.tcs.2023.114129 .
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DOI: 10.1016/j.tcs.2023.114129
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arXiv: 2212.08424

Maes, Margaret E, Ryan J. Donahue, Cassandra L. Schlamp, Olivia J. Marola, Richard T. Libby, and Robert W. Nickells. “BAX Activation in Mouse Retinal Ganglion Cells Occurs in Two Temporally and Mechanistically Distinct Steps.”https://doi.org/10.1186/s13024-023-00659-8__Molecular Neurodegeneration. Springer Nature, 2023.https://doi.org/10.1186/s13024-023-00659-8 .
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Fan, Zhi Yuan, Liu Qiu, Simon Gröblacher, and Jie Li. “Microwave-Optics Entanglement via Cavity Optomagnomechanics.”https://doi.org/10.1002/lpor.202200866__Laser and Photonics Reviews. Wiley, 2023.https://doi.org/10.1002/lpor.202200866 .
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Wilson, Alexia C, and Lora B. Sweeney. “Spinal Cords: Symphonies of Interneurons across Species.”https://doi.org/10.3389/fncir.2023.1146449__Frontiers in Neural Circuits. Frontiers, 2023.https://doi.org/10.3389/fncir.2023.1146449 .
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Hwong, Yi-Ling, Maxime Colin, Philipp Aglas, Caroline J Muller, and Steven Sherwood. “Evaluating Memory Properties in Convection Schemes Using Idealised Tests.”https://doi.org/10.5194/egusphere-egu23-4968__In EGU General Assembly 2023. European Geosciences Union, 2023.https://doi.org/10.5194/egusphere-egu23-4968 .
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Abramian, Sophie, Caroline J Muller, and Camille Risi. “Extreme Precipitation in Tropical Squall Lines.”https://doi.org/10.5194/egusphere-egu23-15870__In EGU General Assembly 2023. European Geosciences Union, 2023.https://doi.org/10.5194/egusphere-egu23-15870 .
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Banerjee, Tamajit, Rupak Majumdar, Kaushik Mallik, Anne-Kathrin Schmuck, and Sadegh Soudjani. “Fast Symbolic Algorithms for Mega-Regular Games under Strong Transition Fairness.”https://doi.org/10.46298/theoretics.23.4__TheoretiCS. EPI Sciences, 2023.https://doi.org/10.46298/theoretics.23.4 .
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Bombari, Simone, Shayan Kiyani, and Marco Mondelli. “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, 202:2738–76. ML Research Press, 2023.
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arXiv: 2302.01629

Súkeník, Peter, Marco Mondelli, and Christoph Lampert. “Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model.” In 37th Annual Conference on Neural Information Processing Systems, n.d.
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arXiv: 2305.13165

Wu, Diyuan, Vyacheslav Kungurtsev, and Marco Mondelli. “Mean-Field Analysis for Heavy Ball Methods: Dropout-Stability, Connectivity, and Global Convergence.” In Transactions on Machine Learning Research. ML Research Press, 2023.
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arXiv: 2210.06819

Shaw, Thomas, Pascal Buri, Michael McCarthy, Evan Miles, and Francesca Pellicciotti. “Air Temperature and Near-Surface Meteorology Datasets on Three Swiss Glaciers - Extreme 2022 Summer.”https://doi.org/10.5281/ZENODO.8277285__Zenodo, 2023.https://doi.org/10.5281/ZENODO.8277285 .
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Knaus, Lisa. “The Metabolism of the Developing Brainf: How Large Neutral Amino Acids Modulate Perinatal Neuronal Excitability and Survival.”https://doi.org/10.15479/at:ista:13107__Institute of Science and Technology Austria, 2023.https://doi.org/10.15479/at:ista:13107 .
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Knaus, Lisa, Bernadette Basilico, Daniel Malzl, Maria Gerykova Bujalkova, Mateja Smogavec, Lena A. Schwarz, Sarah Gorkiewicz, et al. “Large Neutral Amino Acid Levels Tune Perinatal Neuronal Excitability and Survival.”https://doi.org/10.1016/j.cell.2023.02.037__Cell. Elsevier, 2023.https://doi.org/10.1016/j.cell.2023.02.037 .
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Valentini, Marco, Oliver Sagi, Levon Baghumyan, Thijs de Gijsel, Jason Jung, Stefano Calcaterra, Andrea Ballabio, et al. “Radio Frequency Driven Superconducting Diode and Parity Conserving  Cooper Pair Transport in a Two-Dimensional Germanium Hole Gas.”https://doi.org/10.48550/arXiv.2306.07109__ArXiv, n.d.https://doi.org/10.48550/arXiv.2306.07109 .
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arXiv: 2306.07109

Burg, Max, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, and Chris Russell. “Image Retrieval Outperforms Diffusion Models on Data Augmentation.” Journal of Machine Learning Research. ML Research Press, 2023.
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Yao, Dingling, Danru Xu, Sébastien Lachapelle, Sara Magliacane, Perouz Taslakian, Georg Martius, Julius von Kügelgen, and Francesco Locatello. “Multi-View Causal Representation Learning with Partial Observability.”https://doi.org/10.48550/arXiv.2311.04056__ArXiv, n.d.https://doi.org/10.48550/arXiv.2311.04056 .
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arXiv: 2311.04056