Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width. - Hanxu Zhou; Qixuan Zhou; Zhenyuan Jin; Tao Luo 012; Yaoyu Zhang; Zhi-Qin John Xu (NeurIPS, 2022)

Towards Understanding the Condensation of Neural Networks at Initial Training. - Hanxu Zhou; Qixuan Zhou; Tao Luo 012; Yaoyu Zhang; Zhi-Qin John Xu (NeurIPS, 2022)

On Residual Minimization for PDEs: Failure of PINN, Modified Equation, and Implicit Bias. - Tao Luo 012; Qixuan Zhou (CoRR, 2023)

A priori Estimates for Deep Residual Network in Continuous-time Reinforcement Learning. - Shuyu Yin; Qixuan Zhou; Fei Wen; Tao Luo 012 (CoRR, 2024)

Demystifying Lazy Training of Neural Networks from a Macroscopic Viewpoint. - Yuqing Li; Tao Luo 012; Qixuan Zhou (CoRR, 2024)

Quantifying Training Difficulty and Accelerating Convergence in Neural Network-Based PDE Solvers. - Chuqi Chen; Qixuan Zhou; Yahong Yang; Yang Xiang 002; Tao Luo 012 (CoRR, 2024)