AI Feynman: a Physics-Inspired Method for Symbolic Regression. - Silviu-Marian Udrescu; Max Tegmark (CoRR, 2019)

AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity. - Silviu-Marian Udrescu; Andrew K. Tan; Jiahai Feng; Orisvaldo Neto; Tailin Wu; Max Tegmark (NeurIPS, 2020)

Symbolic Pregression: Discovering Physical Laws from Raw Distorted Video. - Silviu-Marian Udrescu; Max Tegmark (CoRR, 2020)

Precision Spectroscopy of Fast, Hot Exotic Isotopes Using Machine Learning Assisted Event-by-Event Doppler Correction. - Silviu-Marian Udrescu; Diego Alejandro Torres; Ronald Fernando Garcia Ruiz (CoRR, 2023)

Discovering Nuclear Models from Symbolic Machine Learning. - Jose M. Munoz; Silviu-Marian Udrescu; Ronald Fernando Garcia Ruiz (CoRR, 2024)