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cs.AI2026
EditSR: Enhancing Neural Symbolic Regression via Edit-based Rectification
Da Li, Xinxin Li, Xingyu Cui +3
Neural symbolic regression models improve inference efficiency by shifting structural search to pretraining, but their one-pass autoregressive decoding is prone to error accumulati…
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…