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Conference and Workshop Papers
- 2023
[c2]Lakshmi Nair, David Widemann, Brad Turcott, Nick Moore, Alexandra Wleklinski, Darius Bunandar, Ioannis Papavasileiou, Shihu Wang, Eric Logan:
Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection. HPEC 2023: 1-9- 2022
- [c1]Brian R. Bartoldson, Rui Wang, Yucheng Fu, David Widemann, Sam Nguyen, Jie Bao, Zhijie Xu, Brenda Ng:
Latent Space Simulation for Carbon Capture Design Optimization. AAAI 2022: 12447-12453
Informal and Other Publications
- 2023
- [i3]Lakshmi Nair, David Widemann, Brad Turcott, Nick Moore, Alexandra Wleklinski, Darius Bunandar, Ioannis Papavasileiou, Shihu Wang, Eric Logan:
Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection. CoRR abs/2309.16783 (2023) - 2022
- [i2]Ayon Basumallik, Darius Bunandar, Nicholas Dronen, Nicholas C. Harris, Ludmila Levkova, Calvin McCarter, Lakshmi Nair, David Walter, David Widemann:
Adaptive Block Floating-Point for Analog Deep Learning Hardware. CoRR abs/2205.06287 (2022) - 2021
- [i1]Brian R. Bartoldson, Rui Wang, Yucheng Fu, David Widemann, Sam Nguyen, Jie Bao, Zhijie Xu, Brenda Ng:
Latent Space Simulation for Carbon Capture Design Optimization. CoRR abs/2112.11656 (2021)
Coauthor Index
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