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Developing a Series of AI Challenges for the United States Department of the Air Force


Jul 14, 2022
Vijay Gadepally, Gregory Angelides, Andrei Barbu, Andrew Bowne, Laura J. Brattain, Tamara Broderick, Armando Cabrera, Glenn Carl, Ronisha Carter, Miriam Cha, Emilie Cowen, Jesse Cummings, Bill Freeman, James Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L Weiss, Allan Wollaber, Sophia Yuditskaya, Jeremy Kepner

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Meta-Learning and Self-Supervised Pretraining for Real World Image Translation


Dec 22, 2021
Ileana Rugina, Rumen Dangovski, Mark Veillette, Pooya Khorrami, Brian Cheung, Olga Simek, Marin Soljačić

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* 10 pages, 8 figures, 2 tables 

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PCE-PINNs: Physics-Informed Neural Networks for Uncertainty Propagation in Ocean Modeling


May 05, 2021
Björn Lütjens, Catherine H. Crawford, Mark Veillette, Dava Newman

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* Presented at ICRL 2021 Workshop on AI for Modeling Oceans and Climate Change 

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