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ETH Zürich AISE: Symbolic Regression and Model Discovery
Symbolic Regression
Making an AI Discover Laws of Physics via Symbolic Regression
Symbolic Model Discovery workshop D1S1 - Symbolic Regression & PySR - Miles Cranmer
Understanding Python: Lesson 69 - PySR
Symbolic Regression with PySR
PySR & SymbolicRegression.jl paper trailer
Can AI uncover laws of nature just using data Introduction to symbolic regression.
Python: Symbolic Regression
Interpretable Machine Learning with SymbolicRegression.jl | Miles Cranmer | JuliaCon 2023
symbolic regression moive
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Last Updated: September 21, 2026
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Summary
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company ... Presenter: Miles Cranmer, DAMTP - University of Cambridge Presented on: 2025-06-05 Abstract: I've received requests from past students as well as subscribers to this channel via email to provide a quick tutorial on Speaker: Miles Cranmer, Princeton Abstract: PySR ( github.com/MilesCranmer/PySR) is an open-source library for practical ... LECTURE OVERVIEW BELOW ↓↓↓ ETH Zürich AI in the Sciences and Engineering 2024 *Course Website* (links to slides and ... You can view more videos in this series at youtube.com/playlist?list=PL1_riyn9sOjcKIAYzo7f8drxD-Yg9La-D or ... Review of the major architectures we've been discussing in this course. Brief overview of Just a video I made showing some figures in the PySR and Can AI discover the laws of nature from data alone? There is something fundamentally human about uncovering a law of nature. Scientific progress, especially in the physical sciences, is a story of hypothesis producing testable predictions that are then either ...