Yanming Lai

Orcid: 0009-0008-5510-8760

According to our database1, Yanming Lai authored at least 13 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Beyond the Prompt in Large Language Models: Comprehension, In-Context Learning, and Chain-of-Thought.
CoRR, March, 2026

Standard Transformers Achieve the Minimax Rate in Nonparametric Regression with C<sub>s,λ</sub> Targets.
CoRR, February, 2026

Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective.
J. Mach. Learn. Res., 2026

2025
Error Analysis of Three-Layer Neural Network Trained With PGD for Deep Ritz Method.
IEEE Trans. Inf. Theory, July, 2025

Approximation Bounds for Transformer Networks with Application to Regression.
CoRR, April, 2025

2024
Convergence Analysis of Flow Matching in Latent Space with Transformers.
CoRR, 2024

2023
Deep Neural Networks with ReLU-Sine-Exponential Activations Break Curse of Dimensionality in Approximation on Hölder Class.
SIAM J. Math. Anal., August, 2023

Convergence Analysis of the Deep Galerkin Method for Weak Solutions.
CoRR, 2023

2021
Analysis of Deep Ritz Methods for Laplace Equations with Dirichlet Boundary Conditions.
CoRR, 2021

Convergence Analysis for the PINNs.
CoRR, 2021

Error Analysis of Deep Ritz Methods for Elliptic Equations.
CoRR, 2021

Convergence Rate Analysis for Deep Ritz Method.
CoRR, 2021

Deep Neural Networks with ReLU-Sine-Exponential Activations Break Curse of Dimensionality on Hölder Class.
CoRR, 2021


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