317 citations · 2.6k across the 65 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
A Perspective on Symbolic Machine Learning in Physical Sciences
Nour Makke, Sanjay Chawla
Machine learning is rapidly making its pathway across all of the natural sciences, including physical sciences. The rate at which ML is impacting non-scientific disciplines is inco…
cs.LG2022★ 317 cited
Interpretable Scientific Discovery with Symbolic Regression: A Review
Nour Makke, Sanjay Chawla
Symbolic regression is emerging as a promising machine learning method for learning succinct underlying interpretable mathematical expressions directly from data. Whereas it has be…