Wassim Tenachi
@wassimtenachi.bsky.social
PhD student in Astrophysics 💫 x Machine Learning 🤖 for dark matter research ⚫️ @ Observatoire Astronomique de Strasbourg - Symbolic Regression aficionado
More than curve-fitting, Φ-SO searches in the space of mathematical expressions themselves - guided by a neural policy and physics (e.g. units, symmetries).
Follow for more about automated equation discovery ! :)
code: github.com/WassimTenachi/PhySO
paper: arxiv.org/abs/2303.03192
Follow for more about automated equation discovery ! :)
code: github.com/WassimTenachi/PhySO
paper: arxiv.org/abs/2303.03192
GitHub - WassimTenachi/PhySO: Physical Symbolic Optimization
Physical Symbolic Optimization. Contribute to WassimTenachi/PhySO development by creating an account on GitHub.
github.com
April 10, 2025 at 7:29 AM
More than curve-fitting, Φ-SO searches in the space of mathematical expressions themselves - guided by a neural policy and physics (e.g. units, symmetries).
Follow for more about automated equation discovery ! :)
code: github.com/WassimTenachi/PhySO
paper: arxiv.org/abs/2303.03192
Follow for more about automated equation discovery ! :)
code: github.com/WassimTenachi/PhySO
paper: arxiv.org/abs/2303.03192
The video shows Φ-SO - a Physical Symbolic Optimization algorithm - rediscovering the tariff law implemented in the US — directly from data.
No prior knowledge. Just learning patterns.
It uses deep RL to discover interpretable symbolic equations that make sense to humans by trial-and-error.
No prior knowledge. Just learning patterns.
It uses deep RL to discover interpretable symbolic equations that make sense to humans by trial-and-error.
April 10, 2025 at 7:29 AM
The video shows Φ-SO - a Physical Symbolic Optimization algorithm - rediscovering the tariff law implemented in the US — directly from data.
No prior knowledge. Just learning patterns.
It uses deep RL to discover interpretable symbolic equations that make sense to humans by trial-and-error.
No prior knowledge. Just learning patterns.
It uses deep RL to discover interpretable symbolic equations that make sense to humans by trial-and-error.