Alert button
Picture for Mark Veillette

Mark Veillette

Alert button

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

Figure 1 for Developing a Series of AI Challenges for the United States Department of the Air Force
Figure 2 for Developing a Series of AI Challenges for the United States Department of the Air Force
Figure 3 for Developing a Series of AI Challenges for the United States Department of the Air Force
Figure 4 for Developing a Series of AI Challenges for the United States Department of the Air Force
Viaarxiv icon

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

Figure 1 for Meta-Learning and Self-Supervised Pretraining for Real World Image Translation
Figure 2 for Meta-Learning and Self-Supervised Pretraining for Real World Image Translation
Figure 3 for Meta-Learning and Self-Supervised Pretraining for Real World Image Translation
Figure 4 for Meta-Learning and Self-Supervised Pretraining for Real World Image Translation
Viaarxiv icon

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

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

Figure 1 for PCE-PINNs: Physics-Informed Neural Networks for Uncertainty Propagation in Ocean Modeling
Figure 2 for PCE-PINNs: Physics-Informed Neural Networks for Uncertainty Propagation in Ocean Modeling
Viaarxiv icon