An Interactive Visualization Platform for Deep Symbolic Regression

Joanne T. Kim, Sookyung Kim, Brenden K. Petersen
2020 Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence  
Discovering tractable mathematical expressions that best explain a dataset is a long-standing challenge in artificial intelligence. This problem, known as symbolic regression, is relevant when one seeks to generate new physical knowledge and insights. Since practitioners are primarily interested in knowledge generation, the ability to interact with a symbolic regression algorithm would be highly valuable. Thus, we present an interactive symbolic regression framework that allows users not only
more » ... configure runs, but also to control the system during training. The interface provides real-time visualization and diagnostics to help guide the user as they control the algorithm on the fly.
doi:10.24963/ijcai.2020/763 dblp:conf/ijcai/KimKP20 fatcat:jwzgucvs4vfc7cz3na2sb2a3da