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28 Results
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Workshop
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Ensemble models outperform single model uncertainties and predictions for operator-learning of hypersonic flows Victor Leon · Noah Ford · Honest Mrema · Jeffrey Gilbert · Alexander New |
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Workshop
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Chain-of-Thought Reasoning is a Policy Improvement Operator Hugh Zhang · David Parkes |
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Poster
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Wed 8:45 |
Equivariant Neural Operator Learning with Graphon Convolution Chaoran Cheng · Jian Peng |
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Workshop
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Learning TSP Algorithmic Prior using Gumbel-Sinkhorn Operator Yimeng Min · Carla Gomes |
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Workshop
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Rapid Prediction of Two-dimensional Airflow in an Operating Room using Scientific Machine Learning Gary Collins · Alexander New · Ryan Darragh · Ryan Darragh · Brian Damit · Christopher Stiles |
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Workshop
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What’s in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang · Sam Buchanan · Jeremias Sulam |
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Workshop
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Does In-Context Operator Learning Generalize to Domain-Shifted Settings? Jerry Liu · N. Benjamin Erichson · Kush Bhatia · Michael Mahoney · Christopher Ré |
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Workshop
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Information bottleneck learns dominant transfer operator eigenfunctions in dynamical systems Matthew S. Schmitt · Maciej Koch-Janusz · Michel Fruchart · Daniel Seara · Vincenzo Vitelli |
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Poster
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Wed 8:45 |
Convolutional Neural Operators for robust and accurate learning of PDEs Bogdan Raonic · Roberto Molinaro · Tim De Ryck · Tobias Rohner · Francesca Bartolucci · Rima Alaifari · Siddhartha Mishra · Emmanuel de Bézenac |
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Poster
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Tue 15:15 |
Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning Francesca Bartolucci · Emmanuel de Bézenac · Bogdan Raonic · Roberto Molinaro · Siddhartha Mishra · Rima Alaifari |
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Workshop
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Sat 9:45 |
Can Physics informed Neural Operators self improve? Ritam Majumdar · Amey Varhade · Shirish Karande · Lovekesh Vig |
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Poster
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Wed 15:00 |
Multiplication-Free Transformer Training via Piecewise Affine Operations Atli Kosson · Martin Jaggi |