Search Results for author: Rodrigo Ibata

Found 2 papers, 2 papers with code

An end-to-end strategy for recovering a free-form potential from a snapshot of stellar coordinates

1 code implementation26 May 2023 Wassim Tenachi, Rodrigo Ibata, Foivos I. Diakogiannis

New large observational surveys such as Gaia are leading us into an era of data abundance, offering unprecedented opportunities to discover new physical laws through the power of machine learning.

Symbolic Regression

Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws

1 code implementation6 Mar 2023 Wassim Tenachi, Rodrigo Ibata, Foivos I. Diakogiannis

Here we present $\Phi$-SO, a Physical Symbolic Optimization framework for recovering analytical symbolic expressions from physics data using deep reinforcement learning techniques by learning units constraints.

Symbolic Regression

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