1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning
Yanjie Li, Weijun Li, Lina Yu +6
The mathematical formula is the human language to describe nature and is the essence of scientific research. Finding mathematical formulas from observational data is a major demand…
cs.LG2024★ 1 cited
Discovering Mathematical Formulas from Data via GPT-guided Monte Carlo Tree Search
Yanjie Li, Weijun Li, Lina Yu +6
Finding a concise and interpretable mathematical formula that accurately describes the relationship between each variable and the predicted value in the data is a crucial task in s…
cs.LG2024
PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression
Min Wu, Weijun Li, Lina Yu +4
Symbolic regression aims to derive interpretable symbolic expressions from data in order to better understand and interpret data. %which plays an important role in knowledge discov…