Precision Spectroscopy of Fast, Hot Exotic Isotopes Using Machine Learning Assisted Event-by-Event Doppler Correction

no code implementations • 25 Apr 2023 • Silviu-Marian Udrescu, Diego Alejandro Torres, Ronald Fernando Garcia Ruiz

We propose an experimental scheme for performing sensitive, high-precision laser spectroscopy studies on fast exotic isotopes.

AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity

2 code implementations • NeurIPS 2020 • Silviu-Marian Udrescu, Andrew Tan, Jiahai Feng, Orisvaldo Neto, Tailin Wu, Max Tegmark

We present an improved method for symbolic regression that seeks to fit data to formulas that are Pareto-optimal, in the sense of having the best accuracy for a given complexity.

regression Symbolic Regression +1

Symbolic Pregression: Discovering Physical Laws from Distorted Video

no code implementations • 19 May 2020 • Silviu-Marian Udrescu, Max Tegmark

We present a method for unsupervised learning of equations of motion for objects in raw and optionally distorted unlabeled video.

regression Symbolic Regression

AI Feynman: a Physics-Inspired Method for Symbolic Regression

2 code implementations • 27 May 2019 • Silviu-Marian Udrescu, Max Tegmark

A core challenge for both physics and artificial intellicence (AI) is symbolic regression: finding a symbolic expression that matches data from an unknown function.

regression Symbolic Regression