1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2026
REALM: Regime-Switching, Explainable, and Activation-Induced Linear Models
Xiaoran Cheng, Sen Na, Jia Li
Deep ReLU networks are piecewise-affine mappings that partition the input space into cells, each characterized by a distinct activation pattern. This structure motivates fitting a…
math.OC2026
Muon with Nesterov Momentum: Heavy-Tailed Noise and (Randomized) Inexact Polar Decomposition
Sayantan Choudhury, Xiaoran Cheng, Martin Takáč +2
Most first-order optimizers treat matrix-valued parameters as vectors, ignoring the intrinsic geometry of hidden-layer weights in neural networks. Muon addresses this mismatch by u…
cs.LG2024★ 1 cited
Physics-Informed Neural Networks with Trust-Region Sequential Quadratic Programming
Xiaoran Cheng, Sen Na
Physics-Informed Neural Networks (PINNs) represent a significant advancement in Scientific Machine Learning (SciML), which integrate physical domain knowledge into an empirical los…