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Learning to correct spectral methods for simulating turbulent flows


Jul 01, 2022
Gideon Dresdner, Dmitrii Kochkov, Peter Norgaard, Leonardo Zepeda-Núñez, Jamie A. Smith, Michael P. Brenner, Stephan Hoyer

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Context-Aware Abbreviation Expansion Using Large Language Models


May 11, 2022
Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Ajit Narayanan, Meredith Ringel Morris, Michael P. Brenner

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* 15 pages, 7 figures, 8 tables. Accepted as a long paper at NAACL 2022 

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Using a Cross-Task Grid of Linear Probes to Interpret CNN Model Predictions On Retinal Images


Jul 23, 2021
Katy Blumer, Subhashini Venugopalan, Michael P. Brenner, Jon Kleinberg

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* Extended abstract at Interpretable Machine Learning in Healthcare (IMLH) workshop at ICML 2021 

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Comparing Supervised Models And Learned Speech Representations For Classifying Intelligibility Of Disordered Speech On Selected Phrases


Jul 08, 2021
Subhashini Venugopalan, Joel Shor, Manoj Plakal, Jimmy Tobin, Katrin Tomanek, Jordan R. Green, Michael P. Brenner

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* Accepted at INTERSPEECH 2021 

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Variational Data Assimilation with a Learned Inverse Observation Operator


Feb 22, 2021
Thomas Frerix, Dmitrii Kochkov, Jamie A. Smith, Daniel Cremers, Michael P. Brenner, Stephan Hoyer

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Machine learning accelerated computational fluid dynamics


Jan 28, 2021
Dmitrii Kochkov, Jamie A. Smith, Ayya Alieva, Qing Wang, Michael P. Brenner, Stephan Hoyer

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* 13 pages, 9 figures 

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Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry


Nov 29, 2018
Kevin McCloskey, Ankur Taly, Federico Monti, Michael P. Brenner, Lucy Colwell

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