Workshop

Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference
Som Dhulipala · Yifeng Che · Michael Shields

Poster

Thu 14:00

First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization
Siddharth Reddy · Sergey Levine · Anca Dragan

Workshop

Machine Learning Explainability from an Information-theoretic Perspective
Debargha Ganguly · Debayan Gupta

Workshop

Machine-learned climate model corrections from a global storm-resolving model
Anna Kwa

Affinity Workshop

Accurate Machine-Learning-Based classification of Leukemia from Blood Smear Images
Simon Mekit · Kokeb Dese Gebremeskel

Workshop

A hybrid Reduced Basis and Machine-Learning algorithm for building Surrogate Models: a first application to electromagnetism
Alejandro Ribes · Ruben Persicot · Lucas Meyer · Jean-Pierre Ducreux

Workshop

Sat 7:35

Machine-learning, distribution shifts and extrapolation in the Earth System
Markus Reichstein

Poster

Tue 9:00

A composable machine-learning approach for steady-state simulations on high-resolution grids
Rishikesh Ranade · Chris Hill · Lalit Ghule · Jay Pathak

Poster

Thu 14:00

Generic bounds on the approximation error for physics-informed (and) operator learning
Tim De Ryck · Siddhartha Mishra

Workshop

Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows
Raphael Pellegrin · Blake Bullwinkel · Marios Mattheakis · Pavlos Protopapas

Workshop

Robustifying machine-learned algorithms for efficient grid operation
Nicolas Christianson · Christopher Yeh · Tongxin Li · Mahdi Torabi Rad · Azarang Golmohammadi · Adam Wierman

Workshop

Deep-pretrained-FWI: combining supervised learning with physics-informed neural network
ANA PAULA MULLER · Clecio Roque Bom · Jessé Carvalho Costa · Elisângela Lopes Faria · Marcelo Portes de Albuquerque · Marcio Portes de Albuquerque