All webinars start at 12:00 p.m. PT/3:00 p.m. ET unless otherwise noted.

Webinar recordings for the Physics-Informed Learning Machines for Multiscale and Multiphysics Problems (PhILMs) Center can be found on YouTube.

2024

September 24, 2024 at 9:00 a.m. PT

Title to be announced
Mishra Siddhartha
ETH Zurich

September 10, 2024 at 10:00 a.m. PT

"Aurora: A Foundation Model of the Atmosphere"
Paris Perdikaris
University of Pennsylvania

May 21, 2024

"Multi-Stage Neural Networks Achieving Machine Precision"
Ching-Yao Lai
Stanford University

February 20, 2024

"A Fast and Interpretable Training Framework for Spiking Neural Networks"
Haiping Huang
Sun Yat-sen University

February 6, 2024

"Challenges in Causal Representation Learning and Deep Generative Models"
Bryon Aragam
University of Chicago

January 2, 2024

"Structure Preservation in Immersed Finite Element Methods for Incompressible Fluid Flow"
John Evans
University of Colorado, Boulder

2023

September 12, 2023

"Exact and Approximate Symmetries in Machine Learning Models"
Soledad Villar
Johns Hopkins University

August 15, 2023

"The Metriplectic 4-bracket: A Curvature-like Framework for Describing Dissipation in Joined Hamiltonian and Dissipative Fluid and Plasma"
Philip Morrison
The University of Texas at Austin

August 1, 2023

"Role of Physics in Physics-Informed Machine Learning"
Daniel Tartakovsky
Stanford University

July 11, 2023

"Computational Hypergraph Discovery"
Houman Owhadi
CalTech

June 27, 2023

"GREAD: Graph Neural Reaction-Diffusion Networks"
Noseong Park
Yonsei University

June 20, 2023

"Machine Learning Constitutive Models of Inelastic Materials with Microstructure"
Reese Jones
Sandia National Laboratories

June 13, 2023

"Uncertainty Quantification and Trustworthy AI-assisted Decision Making"
Prasanna Sattigeri
IBM

May 30, 2023

"Stochastic Graph Embeddings on Transformers in Dynamic Graphs"
Mengjia Xu
Brown University

May 23, 2023

"Multifidelity Scientific Machine Learning"
Panos Stinis
Pacific Northwest National Laboratory

May 16, 2023

"Scalable Automated Design and Development of Deep Neural Networks for Scientific and Engineering Applications"
Prasanna Balaprakash
Oak Ridge National Laboratory

May 2, 2023

"Bio-Plausible Algorithm-Hardware Co-Design for Efficient & Robust AI"
Priya Panda
Yale University

April 25, 2023

"Scale up Your In-Memory Computing: A Heterogenous Paradigm"
Yu (Kevin) Cao
Arizona State University

April 18, 2023

"Uncertainty Quantification for Deep Learning of Complex Systems"
Eric Hall
Dundee University

April 4, 2023

"Building a Smart Ocean Observational Framework: Challenges and Opportunities for Robotics and Autonomous Systems"
Ani Hsieh
University of Pennsylvania

March 28, 2023

“GFlowNet: Introduction and Applications to AI-Driven Scientific Discovery”
Alex Hernandez-Garcia
Mila-Quebec Artificial Intelligence Institute