Zhenyu Zhu

发表

Doubly hybrid density functionals that correctly describe both density and energy for atoms

N. Su, Xin Xu, Zhenyu Zhu, 2018, Proceedings of the National Academy of Sciences.

Generalization Properties of NAS under Activation and Skip Connection Search

Grigorios G. Chrysos, V. Cevher, Fanghui Liu, 2022, 2209.07238.

Generalization Properties of NAS under Activation and Skip Connection Search

Grigorios G. Chrysos, V. Cevher, Fanghui Liu, 2022, ArXiv.

Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)

Grigorios G. Chrysos, V. Cevher, Fanghui Liu, 2022, ArXiv.

Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)

Grigorios G. Chrysos, V. Cevher, Fanghui Liu, 2022, ArXiv.

Generalization Properties of NAS under Activation and Skip Connection Search

Grigorios G. Chrysos, V. Cevher, Fanghui Liu, 2022, NeurIPS.

Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study

Grigorios G. Chrysos, V. Cevher, Fanghui Liu, 2022, NeurIPS.

Second-Order Analytic Derivatives for XYG3 Type of Doubly Hybrid Density Functionals: Theory, Implementation, and Application to Harmonic and Anharmonic Vibrational Frequency Calculations.

Xin Xu, Yong-Jun Gu, Zhenyu Zhu, 2021, Journal of chemical theory and computation.

Focal-Point Analysis to Achieve Accurate CCSD(T) Data Set References for Static Polarizabilities.

Xin Xu, Zhenyu Zhu, 2023, Journal of chemical theory and computation.

Robust Failure Diagnosis of Microservice System through Multimodal Data

Dan Pei, Zhenyu Zhu, Shenglin Zhang, 2023, arXiv.org.

Robust Failure Diagnosis of Microservice System Through Multimodal Data

Dan Pei, Zhenyu Zhu, Shenglin Zhang, 2023, IEEE Transactions on Services Computing.

Benign Overfitting in Deep Neural Networks under Lazy Training

Grigorios G. Chrysos, V. Cevher, Francesco Locatello, 2023, ICML.

The application research of AI image recognition and processing technology in the early diagnosis of the COVID-19

Zhenyu Zhu, Wenyu Chen, Ming Yao, 2022, BMC Medical Imaging.

Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)

Grigorios G. Chrysos, V. Cevher, Fanghui Liu, 2022, NeurIPS.

Controlling the Complexity and Lipschitz Constant improves polynomial nets

Grigorios G. Chrysos, V. Cevher, Fabian Latorre, 2022, ICLR.

Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks

V. Cevher, R. Shokri, Zhenyu Zhu, 2023, NeurIPS.

Generalization Properties of NAS under Activation and Skip Connection Search

Grigorios G. Chrysos, V. Cevher, Fanghui Liu, 2022, NeurIPS.

Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling

V. Cevher, Zhenyu Zhu, Francesco Locatello, 2023, NeurIPS.