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Workshop
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Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference
Som Dhulipala · Yifeng Che · Michael Shields
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Poster
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Thu 14:00
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First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization
Siddharth Reddy · Sergey Levine · Anca Dragan
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Workshop
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Machine Learning Explainability from an Information-theoretic Perspective
Debargha Ganguly · Debayan Gupta
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Workshop
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Machine-learned climate model corrections from a global storm-resolving model
Anna Kwa
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Workshop
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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
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Affinity Workshop
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Accurate Machine-Learning-Based classification of Leukemia from Blood Smear Images
Simon Mekit · Kokeb Dese Gebremeskel
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Workshop
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Sat 7:35
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Machine-learning, distribution shifts and extrapolation in the Earth System
Markus Reichstein
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Poster
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Tue 9:00
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A composable machine-learning approach for steady-state simulations on high-resolution grids
Rishikesh Ranade · Chris Hill · Lalit Ghule · Jay Pathak
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Poster
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Thu 14:00
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Generic bounds on the approximation error for physics-informed (and) operator learning
Tim De Ryck · Siddhartha Mishra
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Workshop
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Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows
Raphael Pellegrin · Blake Bullwinkel · Marios Mattheakis · Pavlos Protopapas
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Workshop
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Robustifying machine-learned algorithms for efficient grid operation
Nicolas Christianson · Christopher Yeh · Tongxin Li · Mahdi Torabi Rad · Azarang Golmohammadi · Adam Wierman
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Workshop
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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
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