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  3. Mini-Course On: Physics Informed Machine Learning With Pytorch and Julia

Mini-Course on: Physics Informed Machine Learning with Pytorch and Julia

When

4 – 5:30 p.m., April 22, 2024

Where

ENR2 Room S395 and Zoom

5 Day Mini-Course on: Physics Informed Machine Learning with Pytorch and Julia

Instructors: Arvind Mohan and Nicholas Lubbers, Computational, Computer, and Statistical Division, Los Alamos National Laboratory

Day 1: The killer feature: Automatic Differentiation

           0 - Theory of automatic differentiation 

           1 - Example Notebooks: Introduction to Pytorch

           2 - Example Notebooks:  Tape-based Automatic Differentiation

Zoom: https://arizona.zoom.us/j/83738249833  passcode: applied

Upcoming Events

9 a.m. – Noon, May 22, 2025

PhD Final Oral Dissertation Defense

Deep Learning Models for Analyzing and Predicting Mosquito Populations

Adrienne Kinney, Program in Applied Mathmatics

11 a.m. – 2 p.m., June 2, 2025

PhD Final Oral Dissertation Defense

Robust Learning, Inference and Uncertainty Quantification via Contrast

Jesse Friedbaum, Program in Applied Mathmatics

View all events

Upcoming Events

9 a.m. – Noon, May 22, 2025

PhD Final Oral Dissertation Defense

Deep Learning Models for Analyzing and Predicting Mosquito Populations

Adrienne Kinney, Program in Applied Mathmatics

11 a.m. – 2 p.m., June 2, 2025

PhD Final Oral Dissertation Defense

Robust Learning, Inference and Uncertainty Quantification via Contrast

Jesse Friedbaum, Program in Applied Mathmatics

View all events
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