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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…