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Papers
Gamma Distribution PCA-Enhanced Feature Learning for Angle-Robust SAR Target Recognition
ICML 2025
Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture
ICLR 2025
Transformative or Conservative? Conservation laws for ResNets and Transformers
ICML 2025
AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios
ICML 2024
Characterizing ResNet’s Universal Approximation Capability
ICML 2024
Data-free Neural Representation Compression with Riemannian Neural Dynamics
ICML 2024
Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance
ICML 2024
Variational Learning is Effective for Large Deep Networks
ICML 2024