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Size and Depth Separation in Approximating Benign Functions with Neural Networks.

, , , and . COLT, volume 134 of Proceedings of Machine Learning Research, page 4195-4223. PMLR, (2021)

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Flow Logic., and . CONCUR, volume 85 of LIPIcs, page 9:1-9:18. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2017)Eulerian Paths with Regular Constraints., and . MFCS, volume 58 of LIPIcs, page 62:1-62:15. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2016)On the Optimal Memorization Power of ReLU Neural Networks., , and . ICLR, OpenReview.net, (2022)Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization., , , and . COLT, volume 195 of Proceedings of Machine Learning Research, page 3173-3228. PMLR, (2023)On Margin Maximization in Linear and ReLU Networks., , and . NeurIPS, (2022)Gradient Methods Provably Converge to Non-Robust Networks., , and . NeurIPS, (2022)On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias., , and . NeurIPS, (2022)Implicit Regularization Towards Rank Minimization in ReLU Networks., , and . ALT, volume 201 of Proceedings of Machine Learning Research, page 1429-1459. PMLR, (2023)Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data., , , , and . ICLR, OpenReview.net, (2024)Approaching Deep Learning through the Spectral Dynamics of Weights., , , , , , , and . CoRR, (2024)