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朱振宇 / Zhenyu Zhu
朱振宇 / Zhenyu Zhu
Doctoral Assistant, LIONS, EPFL
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
Year
Controlling the complexity and lipschitz constant improves polynomial nets
Z Zhu, F Latorre, GG Chrysos, V Cevher
International Conference on Learning Representations (ICLR), 2022
102022
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)
Z Zhu, F Liu, GG Chrysos, V Cevher
Advances in Neural Information Processing Systems (NeurIPS), 2022
102022
Generalization Properties of NAS under Activation and Skip Connection Search
Z Zhu, F Liu, GG Chrysos, V Cevher
Advances in Neural Information Processing Systems (NeurIPS), 2022
72022
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
Y Wu, Z Zhu, F Liu, GG Chrysos, V Cevher
Advances in Neural Information Processing Systems (NeurIPS), 2022
62022
Benign overfitting in deep neural networks under lazy training
Z Zhu, F Liu, G Chrysos, F Locatello, V Cevher
International Conference on Machine Learning, 43105-43128, 2023
42023
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks
J Ye, Z Zhu, F Liu, R Shokri, V Cevher
Advances in Neural Information Processing Systems 36, 2024
22024
Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling
Z Zhu, F Locatello, V Cevher
Advances in Neural Information Processing Systems 36, 2024
12024
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Articles 1–7