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Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias.

, , , and . NeurIPS, page 9330-9340. (2019)

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Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges, , , and . (2021)cite arxiv:2104.13478Comment: 156 pages. Work in progress -- comments welcome!.A Permutation-Equivariant Neural Network Architecture For Auction Design., , , and . AAAI, page 5664-5672. AAAI Press, (2021)Stability of Graph Scattering Transforms., , and . NeurIPS, page 8036-8046. (2019)Beyond the Edge of Stability via Two-step Gradient Updates., and . ICML, volume 202 of Proceedings of Machine Learning Research, page 4330-4391. PMLR, (2023)Kernel-Based Smoothness Analysis of Residual Networks., , and . MSML, volume 145 of Proceedings of Machine Learning Research, page 921-954. PMLR, (2021)A Permutation-Equivariant Neural Network Architecture For Auction Design., , , and . CoRR, (2020)Stability of Graph Neural Networks to Relative Perturbations., , and . ICASSP, page 9070-9074. IEEE, (2020)On Learning Gaussian Multi-index Models with Gradient Flow., , and . CoRR, (2023)Approximating Orthogonal Matrices with Effective Givens Factorization., and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1993-2001. PMLR, (2019)Unsupervised Feature Learning from Temporal Data., , , , and . ICLR (Workshop), (2015)