a Physics-Inspired Method for Symbolic Regression
Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl
Discovering faster matrix multiplication algorithms with reinforcement learning
Magnetic control of tokamak plasmas through deep reinforcement learning
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
Kolmogorov-Arnold Networks
Towards AI Synthesizing Interdisciplinary Research on Climate Change
A Scientific Large Language Model in Geoscience
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