Zhenyu Zhu
9 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🗺️
Taxonomy Completionist
(15)
🐣
Hot Topic Early Bird
Venues
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Research topics
Keywords
neural tangent kernel
(4)
neural network
(3)
generalization bound
(2)
model robustness
(1)
kl divergence
(1)
sample complexity
(1)
neural architecture search
(1)
adversarial training
(1)
gradient descent
(1)
generalization error
(1)
excess risk
(1)
deep architecture
(1)
score matching
(1)
score function
(1)
deep neural network
(1)
relu activation
(1)
learning dynamics
(1)
benign overfitting
(1)
lipschitz constant
(1)
gradient norm
(1)
Papers
How Gradient descent balances features: A dynamical analysis for two-layer neural networks
ICLR 2025
Training Deep Learning Models with Norm-Constrained LMOs
ICML 2025
Benign Overfitting in Deep Neural Networks under Lazy Training
ICML 2023
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks
NeurIPS 2023
Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling
NeurIPS 2023
Controlling the Complexity and Lipschitz Constant improves Polynomial Nets
ICLR 2022
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
NeurIPS 2022
Generalization Properties of NAS under Activation and Skip Connection Search
NeurIPS 2022
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)
NeurIPS 2022