LithiumDA/CodePDE
[TMLR J2C] CodePDE: An Inference Framework for LLM-driven PDE Solver Generation
Ph.D. student, major in Machine Learning
[TMLR J2C] CodePDE: An Inference Framework for LLM-driven PDE Solver Generation
[EMNLP 2026] ReproRepo: Scaling Reproducibility Audits with GitHub Repository Issues
[NeurIPS 2022] Minimizing L_inf Physics-Informed Loss for PINN with adversarial training
[AISTATS 2023] Learning Physics-Informed Neural Networks without Stacked Back-propagation
[ICML 2025] Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators
finding new ramsey bounds through scaling autoresearch
For adapters paper experiments (correlation study, traj analysis, etc.) and harbor mix selection.
Code samples for Probability and Statistics (A), 2022 spring.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.