3 papers
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
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…