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cs.LG2026
Weak-PDE-Net: Discovering Open-Form PDEs via Differentiable Symbolic Networks and Weak Formulation
Xinxin Li, Xingyu Cui, Jin Qi +3
Discovering governing Partial Differential Equations (PDEs) from sparse and noisy data is a challenging issue in data-driven scientific computing. Conventional sparse regression me…
cs.LG2026
UniSymNet: A Unified Symbolic Network Guided by Transformer
Xinxin Li, Juan Zhang, Da Li +3
Symbolic Regression (SR) is a powerful technique for automatically discovering mathematical expressions from input data. Mainstream SR algorithms search for the optimal symbolic tr…
cs.LG2026
ViSymRe: Vision Multimodal Symbolic Regression
Da Li, Junping Yin, Jin Xu +2
Extracting interpretable equations from observational datasets to describe complex natural phenomena is one of the core goals of artificial intelligence. This field is known as sym…