Confavreux, B. J. (2023). Synapseek: Meta-learning synaptic plasticity rules. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:14422 
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Frantar, E., &; Alistarh, D.-A. (2023). SparseGPT: Massive language models can be accurately pruned in one-shot. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 10323–10337). Honolulu, Hawaii, HI, United States: ML Research Press.
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Kolmogorov, V. (2023). Solving relaxations of MAP-MRF problems: Combinatorial in-face Frank-Wolfe directions. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Vol. 2023, pp. 11980–11989). Vancouver, Canada: IEEE.https://doi.org/10.1109/CVPR52729.2023.01153 
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arXiv: 2010.09567

Rao, P., Mallikarjun, B. R., Fox, G., Weyrich, T., Bickel, B., Pfister, H.,https://doi.org/10.1007/s11263-023-01899-3__Elgharib, M. (2023). A deeper analysis of volumetric relightiable faces. International Journal of Computer Vision. Springer Nature.https://doi.org/10.1007/s11263-023-01899-3 
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Zemlicka, M., Redchenko, E., Peruzzo, M., Hassani, F., Trioni, A., Barzanjeh, S., &; Fink, J. M. (2023). Compact vacuum-gap transmon qubits: Selective and sensitive probes for superconductor surface losses. Physical Review Applied. American Physical Society.https://doi.org/10.1103/PhysRevApplied.20.044054 
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Kaiyrzhanov, R., Rad, A., Lin, S.-J., Bertoli-Avella, A., Kallemeijn, W. W., Godwin, A.,https://doi.org/10.1093/brain/awad380__Maroofian, R. (2023). Bi-allelic ACB variants lead to a neurodevelopmental syndrome with progressive and complex movement disorders. Brain. Oxford University Press.https://doi.org/10.1093/brain/awad380 
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Erdös, L., &; Ji, H. C. (2023). Functional CLT for non-Hermitian random matrices. Annales de l’institut Henri Poincare (B) Probability and Statistics. Institute of Mathematical Statistics.https://doi.org/10.1214/22-AIHP1304 
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Liao, K., Tricard, T., Piovarci, M., Seidel, H.-P., &; Babaei, V. (2023). Learning deposition policies for fused multi-material 3D printing. In 2023 IEEE International Conference on Robotics and Automation (Vol. 2023, pp. 12345–12352). London, United Kingdom: IEEE.https://doi.org/10.1109/ICRA48891.2023.10160465 
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Xu, Y., Hou, T. Q., Liang, S. S., &; Mondelli, M. (2023). Approximate message passing for multi-layer estimation in rotationally invariant models. In 2023 IEEE Information Theory Workshop (pp. 294–298). Saint-Malo, France: Institute of Electrical and Electronics Engineers.https://doi.org/10.1109/ITW55543.2023.10160238 
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Zhong, F., Xu, Y., Zhao, H., &; Lu, L. (2023). As-Continuous-As-Possible extrusion-based fabrication of surface models. ACM Transactions on Graphics. Association for Computing Machinery.https://doi.org/10.1145/3575859 
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Méhes, E., Mones, E., Varga, M., Zsigmond, Á., Biri-Kovács, B., Nyitray, L.,https://doi.org/10.1038/s42003-023-05181-7__Vicsek, T. (2023). 3D cell segregation geometry and dynamics are governed by tissue surface tension regulation. Communications Biology. Springer Nature.https://doi.org/10.1038/s42003-023-05181-7 
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Henheik, S. J., &; Tumulka, R. (2023). Creation rate of Dirac particles at a point source. Journal of Physics A: Mathematical and Theoretical. IOP Publishing.https://doi.org/10.1088/1751-8121/acfe62 
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He, R., Yang, L., Zhang, Y., Jiang, D., Lee, S., Horta, S.,https://doi.org/10.1002/adma.202303719__Cabot, A. (2023). A 3d4d5d high entropy alloy as a bifunctional oxygen catalyst for robust aqueous zinc–air batteries. Advanced Materials. Wiley.https://doi.org/10.1002/adma.202303719 
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Ambrus, Á., Csikós, M., Kiss, G., Pach, J., &; Somlai, G. (2023). Optimal embedded and enclosing isosceles triangles. International Journal of Foundations of Computer Science. World Scientific Publishing.https://doi.org/10.1142/S012905412342008X 
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Auerbach, B., Cueto Noval, M., Pascual Perez, G., &; Pietrzak, K. Z. (2023). On the cost of post-compromise security in concurrent Continuous Group-Key Agreement. In 21st International Conference on Theory of Cryptography (Vol. 14371, pp. 271–300). Taipei, Taiwan: Springer Nature.https://doi.org/10.1007/978-3-031-48621-0_10 
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Ding, X., &; Ji, H. C. (2023). Local laws for multiplication of random matrices. The Annals of Applied Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/22-aap1882 
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Danzl, J. G. (2023). Research data for the publication “Dense 4D nanoscale reconstruction of living brain tissue.”https://doi.org/10.15479/AT:ISTA:12817__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:12817 
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Velicky, P., Miguel Villalba, E., Michalska, J. M., Lyudchik, J., Wei, D., Lin, Z.,https://doi.org/10.1038/s41592-023-01936-6__Danzl, J. G. (2023). Dense 4D nanoscale reconstruction of living brain tissue. Nature Methods. Springer Nature.https://doi.org/10.1038/s41592-023-01936-6 
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Danzl, J. G., &; Velicky, P. (2023). LIONESS enables 4D nanoscale reconstruction of living brain tissue. Nature Methods. Springer Nature.https://doi.org/10.1038/s41592-023-01937-5 
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Schnelli, K., &; Xu, Y. (2023). Convergence rate to the Tracy–Widom laws for the largest eigenvalue of sample covariance matrices. The Annals of Applied Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/22-aap1826 
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arXiv: 2108.02728