Core Summary: Scientific progress, especially in the physical sciences, is a story of hypothesis producing testable predictions that are then either ... Presenter: Miles Cranmer, DAMTP - University of Cambridge Presented on: 2025-06-05 Abstract:

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In this video, Miles Cranmer discusses a method for converting a neural network into an analytic equation using a particular set of ... Presenter: Miles Cranmer, DAMTP - University of Cambridge Presented on: 2025-06-05 Abstract: Scientific progress, especially in the physical sciences, is a story of hypothesis producing testable predictions that are then either ...

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Scientific progress, especially in the physical sciences, is a story of hypothesis producing testable predictions that are then either ... This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company ...

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  • This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company ...
  • Review of the major architectures we've been discussing in this course.
  • Presenter: Miles Cranmer, DAMTP - University of Cambridge Presented on: 2025-06-05 Abstract:
  • In this video, Miles Cranmer discusses a method for converting a neural network into an analytic equation using a particular set of ...
  • Scientific progress, especially in the physical sciences, is a story of hypothesis producing testable predictions that are then either ...

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Python Symbolic Regression (PySR) [Physics Informed Machine Learning]
Symbolic Regression with PySR
Workshop 2: An Introduction to Symbolic Regression with PySR and SymbolicRegression.jl
Symbolic Model Discovery workshop D1S1 - Symbolic Regression & PySR - Miles Cranmer
Symbolic Regression for Model Discovery in Python and Julia
PySR & SymbolicRegression.jl paper "trailer"
Symbolic Model Discovery workshop D1S2 - Symbolic Regression & PySR - Miles Cranmer
Python: Symbolic Regression
SciMED:A Computational Framework For Physics-Informed Symbolic Regression with Scientist-In-The-Loop
Interpretable Deep Learning for New Physics Discovery
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Python Symbolic Regression (PySR) [Physics Informed Machine Learning]

Python Symbolic Regression (PySR) [Physics Informed Machine Learning]

This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company ...

Symbolic Regression with PySR

Symbolic Regression with PySR

Review of the major architectures we've been discussing in this course. Brief overview of

Workshop 2: An Introduction to Symbolic Regression with PySR and SymbolicRegression.jl

Workshop 2: An Introduction to Symbolic Regression with PySR and SymbolicRegression.jl

Read more details and related context about Workshop 2: An Introduction to Symbolic Regression with PySR and SymbolicRegression.jl.

Symbolic Model Discovery workshop D1S1 - Symbolic Regression & PySR - Miles Cranmer

Symbolic Model Discovery workshop D1S1 - Symbolic Regression & PySR - Miles Cranmer

Read more details and related context about Symbolic Model Discovery workshop D1S1 - Symbolic Regression & PySR - Miles Cranmer.

Symbolic Regression for Model Discovery in Python and Julia

Symbolic Regression for Model Discovery in Python and Julia

Presenter: Miles Cranmer, DAMTP - University of Cambridge Presented on: 2025-06-05 Abstract:

PySR & SymbolicRegression.jl paper "trailer"

PySR & SymbolicRegression.jl paper "trailer"

Read more details and related context about PySR & SymbolicRegression.jl paper "trailer".

Symbolic Model Discovery workshop D1S2 - Symbolic Regression & PySR - Miles Cranmer

Symbolic Model Discovery workshop D1S2 - Symbolic Regression & PySR - Miles Cranmer

Read more details and related context about Symbolic Model Discovery workshop D1S2 - Symbolic Regression & PySR - Miles Cranmer.

Python: Symbolic Regression

Python: Symbolic Regression

Scientific progress, especially in the physical sciences, is a story of hypothesis producing testable predictions that are then either ...

SciMED:A Computational Framework For Physics-Informed Symbolic Regression with Scientist-In-The-Loop

SciMED:A Computational Framework For Physics-Informed Symbolic Regression with Scientist-In-The-Loop

Read more details and related context about SciMED:A Computational Framework For Physics-Informed Symbolic Regression with Scientist-In-The-Loop.

Interpretable Deep Learning for New Physics Discovery

Interpretable Deep Learning for New Physics Discovery

In this video, Miles Cranmer discusses a method for converting a neural network into an analytic equation using a particular set of ...