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cs.LG2026
Interpretable Relational Inference with LLM-Guided Symbolic Dynamics Modeling
Xiaoxiao Liang, Juyuan Zhang, Liming Pan +1
Inferring latent interaction structures from observed dynamics is a fundamental inverse problem in many-body interacting systems. Most neural approaches rely on black-box surrogate…
cs.LG2025
Epi-Net: Advancing Epidemic Dynamics Forecasting with Physics-Inspired Neural Networks
Rui Sun, Chenghua Gong, Tianjun Gu +5
Advancing epidemic dynamics forecasting is vital for targeted interventions and safeguarding public health. Current approaches mainly fall into two categories: mechanism-based and…