Media Summary: 2025 USACM Novel Methods Fall Seminar Title: Talk given at the University of Washington on 6/6/19 for the Physics Informed Machine Learning Workshop. Hosted by Nathan ... website: faculty.washington.edu/kutz This video highlights physics-informed machine learning architectures that allow for the ...

Interpretable Data Driven Model Discovery - Detailed Analysis & Overview

2025 USACM Novel Methods Fall Seminar Title: Talk given at the University of Washington on 6/6/19 for the Physics Informed Machine Learning Workshop. Hosted by Nathan ... website: faculty.washington.edu/kutz This video highlights physics-informed machine learning architectures that allow for the ... Recorded 18 April 2023. Shenglin Huang of the University of Pennsylvania presents " As a part of Discovering AI 2022, Nathan Kutz gave plenary talk on " This is a talk in Scientific Machine Learning Webinar Series ( at CMU on March 30, 2023.

PROGRAM TURBULENCE: PROBLEMS AT THE INTERFACE OF MATHEMATICS AND PHYSICS ORGANIZERS Uriel Frisch ... Speaker: Mr. Wade Shen, Program Manager, DARPA / Information Innovation Office Today, construction of complex empirical ... Machine Learning for Physics and the Physics of Learning 2019 Workshop III: Validation and Guarantees in Learning Physical ...

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Interpretable data-driven model discovery: dynamical systems, ROMs, and operators
Steve Brunton - Discovering interpretable and generalizable dynamical systems from data
Kathleen Champion - Data-driven discovery of coordinates and governing equations
Data-driven model discovery:  Targeted use of deep neural networks for physics and engineering
Shenglin Huang - Data-Driven Model Discovery for Non-equilibrium Processes - IPAM at UCLA
Interpretable and Structure-Preserving Data-Driven Methods for Physical Simulations - Youngsoo Choi
USENIX Security '20 - Interpretable Deep Learning under Fire
Discovering AI@UW 2022 - Nathan Kutz - Data-driven accel. of scientific & engineering discovery
Data-driven discovery of dimensionless numbers and governing laws | CMU SciML Webinar
Data-driven tools for Turbulence Problems by Luca Biferale
HLCS | Interpretable and Explainable Data-Driven Methods for Physical Simulations
Artificial Intelligence Colloquium: Data-Driven Discovery of Models
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Interpretable data-driven model discovery: dynamical systems, ROMs, and operators

Interpretable data-driven model discovery: dynamical systems, ROMs, and operators

2025 USACM Novel Methods Fall Seminar Title:

Steve Brunton - Discovering interpretable and generalizable dynamical systems from data

Steve Brunton - Discovering interpretable and generalizable dynamical systems from data

Talk given at the University of Washington on 6/6/19 for the Physics Informed Machine Learning Workshop. Hosted by Nathan ...

Kathleen Champion - Data-driven discovery of coordinates and governing equations

Kathleen Champion - Data-driven discovery of coordinates and governing equations

Talk given at the University of Washington on 6/6/19 for the Physics Informed Machine Learning Workshop. Hosted by Nathan ...

Data-driven model discovery:  Targeted use of deep neural networks for physics and engineering

Data-driven model discovery: Targeted use of deep neural networks for physics and engineering

website: faculty.washington.edu/kutz This video highlights physics-informed machine learning architectures that allow for the ...

Shenglin Huang - Data-Driven Model Discovery for Non-equilibrium Processes - IPAM at UCLA

Shenglin Huang - Data-Driven Model Discovery for Non-equilibrium Processes - IPAM at UCLA

Recorded 18 April 2023. Shenglin Huang of the University of Pennsylvania presents "

Interpretable and Structure-Preserving Data-Driven Methods for Physical Simulations - Youngsoo Choi

Interpretable and Structure-Preserving Data-Driven Methods for Physical Simulations - Youngsoo Choi

APEX Consulting: https://theapexconsulting.com Website: http://jousefmurad.com A

USENIX Security '20 - Interpretable Deep Learning under Fire

USENIX Security '20 - Interpretable Deep Learning under Fire

Interpretable

Discovering AI@UW 2022 - Nathan Kutz - Data-driven accel. of scientific & engineering discovery

Discovering AI@UW 2022 - Nathan Kutz - Data-driven accel. of scientific & engineering discovery

As a part of Discovering AI@UW 2022, Nathan Kutz gave plenary talk on "

Data-driven discovery of dimensionless numbers and governing laws | CMU SciML Webinar

Data-driven discovery of dimensionless numbers and governing laws | CMU SciML Webinar

This is a talk in Scientific Machine Learning Webinar Series (https://www.cmu.edu/aced/sciML.html) at CMU on March 30, 2023.

Data-driven tools for Turbulence Problems by Luca Biferale

Data-driven tools for Turbulence Problems by Luca Biferale

PROGRAM TURBULENCE: PROBLEMS AT THE INTERFACE OF MATHEMATICS AND PHYSICS ORGANIZERS Uriel Frisch ...

HLCS | Interpretable and Explainable Data-Driven Methods for Physical Simulations

HLCS | Interpretable and Explainable Data-Driven Methods for Physical Simulations

Description: A

Artificial Intelligence Colloquium: Data-Driven Discovery of Models

Artificial Intelligence Colloquium: Data-Driven Discovery of Models

Speaker: Mr. Wade Shen, Program Manager, DARPA / Information Innovation Office Today, construction of complex empirical ...

Steve Brunton: "Discovering interpretable and generalizable dynamical systems from data"

Steve Brunton: "Discovering interpretable and generalizable dynamical systems from data"

Machine Learning for Physics and the Physics of Learning 2019 Workshop III: Validation and Guarantees in Learning Physical ...