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Φ-SO : Physical Symbolic Optimization - Learning Physics from Data 🧠 The Physical Symbolic Optimization package uses deep reinforcement learning to discover physical laws from data. Here is Φ-SO discovering the analytical expression of a damped harmonic oscillator.

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Jousef Murad

19,828 subscribers

433,149 Aufrufe • vor 2 Jahren •via X (Twitter)

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Profilbild von Jousef Murad
Jousef Muradvor 2 Jahren

🌎 Repo:  👉 Paper: 

Profilbild von Luke Barnes
Luke Barnesvor 2 Jahren

This isn't physics. It's curve fitting. If you want to do physics, start by having the code discover the underlying differential equation. Handy, though.

Profilbild von Rasmus Nordström
Rasmus Nordströmvor 2 Jahren

ELI5 please, is this just brute forcing different formulas to see what fits that data or is it more magic to it?

Profilbild von Moritz Zaiss
Moritz Zaissvor 2 Jahren

Nice, I love these approaches! A differentiable physicist that doesn't need coffee. Check out the work of @GMartius in this context!

Profilbild von Jiwoong Lee
Jiwoong Leevor 2 Jahren

Would it be more straightforward to optimize in frequency domain? Curious.

Profilbild von Luis Tobon
Luis Tobonvor 2 Jahren

Try Sindy.

Profilbild von Wassim Tenachi
Wassim Tenachivor 2 Jahren

Thanks for sharing my work, glad to see people excited about this ! 😊

Profilbild von Unser Kampf : notre combat
Unser Kampf : notre combatvor 2 Jahren

How many points are tested ? 4k+1 ?

Profilbild von Unser Kampf : notre combat
Unser Kampf : notre combatvor 2 Jahren

Il like very much. Your works completes mine.

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