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cs.LG2026
Variance-Adaptive Muon: Accelerating LLM Pretraining with NSR-Modulated and Variance-Scaled Momentum
Jingru Li, Yibo Fan, Huan Li
Large Language Models (LLMs) achieve competitive performance across diverse natural language processing (NLP) tasks, yet pretraining is computationally demanding, making optimizer…
cs.LG2025
AFD-STA: Adaptive Filtering Denoising with Spatiotemporal Attention for Chaotic System Prediction
Chunlin Gong, Yin Wang, Jingru Li +1
This paper presents AFD-STA Net, a neural framework integrating adaptive filtering and spatiotemporal dynamics learning for predicting high-dimensional chaotic systems governed by…