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9101 Publications
2023 | Journal Article | IST-REx-ID: 14362 | 
Castellano, Ilaria, et al. “Weakly Weighted Generalised Quasi-Metric Spaces and Semilattices.” Theoretical Computer Science, vol. 977, 114129, Elsevier, 2023, doi:10.1016/j.tcs.2023.114129.
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2023 | Journal Article | IST-REx-ID: 14401 |
Maes, Margaret E., et al. “BAX Activation in Mouse Retinal Ganglion Cells Occurs in Two Temporally and Mechanistically Distinct Steps.” Molecular Neurodegeneration, vol. 18, 67, Springer Nature, 2023, doi:10.1186/s13024-023-00659-8.
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2023 | Journal Article | IST-REx-ID: 14489 |
Fan, Zhi Yuan, et al. “Microwave-Optics Entanglement via Cavity Optomagnomechanics.” Laser and Photonics Reviews, vol. 17, no. 12, 2200866, Wiley, 2023, doi:10.1002/lpor.202200866.
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2023 | Journal Article | IST-REx-ID: 13097 |
Wilson, Alexia C., and Lora B. Sweeney. “Spinal Cords: Symphonies of Interneurons across Species.” Frontiers in Neural Circuits, vol. 17, 1146449, Frontiers, 2023, doi:10.3389/fncir.2023.1146449.
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2023 | Conference Abstract | IST-REx-ID: 14865 |
Hwong, Yi-Ling, et al. “Evaluating Memory Properties in Convection Schemes Using Idealised Tests.” EGU General Assembly 2023, EGU23-4968, European Geosciences Union, 2023, doi:10.5194/egusphere-egu23-4968.
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2023 | Conference Abstract | IST-REx-ID: 14866 |
Abramian, Sophie, et al. “Extreme Precipitation in Tropical Squall Lines.” EGU General Assembly 2023, EGU23-15870, European Geosciences Union, 2023, doi:10.5194/egusphere-egu23-15870.
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2023 | Journal Article | IST-REx-ID: 14920 |
Banerjee, Tamajit, et al. “Fast Symbolic Algorithms for Mega-Regular Games under Strong Transition Fairness.” TheoretiCS, vol. 2, 4, EPI Sciences, 2023, doi:10.46298/theoretics.23.4.
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2023 | Conference Paper | IST-REx-ID: 12859 |
Bombari, Simone, et al. “Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 2738–76.
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2023 | Conference Paper | IST-REx-ID: 14921 |
Súkeník, Peter, et al. “Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model.” 37th Annual Conference on Neural Information Processing Systems.
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2023 | Conference Paper | IST-REx-ID: 14924 |
Wu, Diyuan, et al. “Mean-Field Analysis for Heavy Ball Methods: Dropout-Stability, Connectivity, and Global Convergence.” Transactions on Machine Learning Research, ML Research Press, 2023.
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