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Papers
Optimal Approximation and Generalization Errors for Deep Convolutional Neural Networks
JMLR 2026
Nonlinear functional regression by functional deep neural network with kernel embedding
JMLR 2025
On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding
ICML 2025
On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality
ICLR 2025
Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations
ICLR 2025
Approximation Rate of the Transformer Architecture for Sequence Modeling
NeurIPS 2024
ReLU Network with Width d+O(1) Can Achieve Optimal Approximation Rate
ICML 2024
The phase diagram of approximation rates for deep neural networks
NeurIPS 2020
Optimal approximation of continuous functions by very deep ReLU networks
COLT 2018