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Vanishing Curvature in Randomly Initialized Deep ReLU Networks.

, , , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 7942-7975. PMLR, (2022)

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Theoretical Foundations of Deep Selective State-Space Models., , , , and . CoRR, (2024)On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics., , , , , and . IJCNN, page 1-8. IEEE, (2023)Vanishing Curvature in Randomly Initialized Deep ReLU Networks., , , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 7942-7975. PMLR, (2022)An SDE for Modeling SAM: Theory and Insights., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 25209-25253. PMLR, (2023)On the low-shot transferability of V-Mamba., , and . CoRR, (2024)Continuous-time Models for Stochastic Optimization Algorithms., and . CoRR, (2018)Explicit Regularization in Overparametrized Models via Noise Injection., , , and . CoRR, (2022)The Role of Memory in Stochastic Optimization., , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 356-366. AUAI Press, (2019)Learning explanations that are hard to vary., , , , and . ICLR, OpenReview.net, (2021)Continuous-time Models for Stochastic Optimization Algorithms., and . NeurIPS, page 12589-12601. (2019)