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Conference and Workshop Papers
- 2023
[c3]Ileana Rugina, Rumen Dangovski, Mark Veillette, Pooya Khorrami, Brian Cheung, Olga Simek, Marin Soljacic:
Meta-Learning and Self-Supervised Pretraining for Storm Event Imagery Translation. HPEC 2023: 1-9- 2022
- [c2]Joseph McDonald, James M. Kurdzo
, Phillip M. Stepanian, Mark Veillette, David Bestor, Michael Jones, Vijay Gadepally, Siddharth Samsi:
Performance Estimation for Efficient Image Segmentation Training of Weather Radar Algorithms. HPEC 2022: 1-7 - 2021
- [c1]Pooya Khorrami, Olga Simek, Brian Cheung, Mark Veillette, Rumen Dangovski, Ileana Rugina, Marin Soljacic, Pulkit Agrawal:
Adapting Deep Learning Models to New Meteorological Contexts Using Transfer Learning. IEEE BigData 2021: 4169-4177
Informal and Other Publications
- 2022
- [i3]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 R. 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 E. 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 B. Wollaber, Sophia Yuditskaya, Jeremy Kepner:
Developing a Series of AI Challenges for the United States Department of the Air Force. CoRR abs/2207.07033 (2022) - 2021
- [i2]Björn Lütjens, Catherine H. Crawford, Mark Veillette, Dava Newman:
PCE-PINNs: Physics-Informed Neural Networks for Uncertainty Propagation in Ocean Modeling. CoRR abs/2105.02939 (2021) - [i1]Ileana Rugina, Rumen Dangovski, Mark Veillette, Pooya Khorrami, Brian Cheung, Olga Simek, Marin Soljacic:
Meta-Learning and Self-Supervised Pretraining for Real World Image Translation. CoRR abs/2112.11929 (2021)
Coauthor Index
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