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cs.LG2026
The Propagation Field: A Geometric Substrate Theory of Deep Learning
Xingrui Gu
Modern deep learning treats neural networks primarily as endpoint functions from inputs to outputs. Inspired by the shift from force to geometry in physics, we ask whether a networ…
cs.LG2026
Uncertainty-Gated Generative Modeling
Xingrui Gu, Haixi Zhang
Financial time-series forecasting is a high-stakes problem where regime shifts and shocks make point-accurate yet overconfident models dangerous. We propose Uncertainty-Gated Gener…
cs.LG2024
CauSkelNet: Causal Representation Learning for Human Behaviour Analysis
Xingrui Gu, Chuyi Jiang, Erte Wang +5
Traditional machine learning methods for movement recognition often struggle with limited model interpretability and a lack of insight into human movement dynamics. This study intr…