1 citations · 1 across the 3 of their papers we have counts for
5 papers
Deep Divide-and-Reduce in Symbolic Regression
Yusong Deng, Yanjie Li, Weijun Li
Symbolic regression (SR) is the task of discovering underlying patterns from data and representing them using mathematical expressions. Current machine learning approaches to SR of…
Operator Feature Neural Network for Symbolic Regression
Yusong Deng, Min Wu, Lina Yu +4
Symbolic regression is a task aimed at identifying patterns in data and representing them through mathematical expressions, generally involving skeleton prediction and constant opt…
DN-CL: Deep Symbolic Regression against Noise via Contrastive Learning
Jingyi Liu, Yanjie Li, Lina Yu +6
Noise ubiquitously exists in signals due to numerous factors including physical, electronic, and environmental effects. Traditional methods of symbolic regression, such as genetic…
ChatSR: Multimodal Large Language Models for Scientific Formula Discovery
Yanjie Li, Lina Yu, Weijun Li +6
Current multimodal large language models (MLLMs) are mainly focused on the understanding and processing of perceptual modalities such as images and videos, while their capability f…
Closed-form Solutions: A New Perspective on Solving Differential Equations
Shu Wei, Yanjie Li, Lina Yu +8
The quest for analytical solutions to differential equations has traditionally been constrained by the need for extensive mathematical expertise. Machine learning methods like gene…