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Publication search results
found 17 matches
- 2023
- 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 - 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
- Youngkyu Kim, Youngsoo Choi, David P. Widemann, Tarek I. Zohdi:
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder. J. Comput. Phys. 451: 110841 (2022) - 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 - 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
- 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) - 2020
- Youngkyu Kim, Youngsoo Choi, David P. Widemann, Tarek I. Zohdi:
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder. CoRR abs/2009.11990 (2020) - Youngkyu Kim, Youngsoo Choi, David P. Widemann, Tarek I. Zohdi:
Efficient nonlinear manifold reduced order model. CoRR abs/2011.07727 (2020) - 2019
- André R. Gonçalves, Priyadip Ray, Braden Soper, David P. Widemann, Mari Nygård, Jan F. Nygård, Ana Paula Sales:
Bayesian multitask learning regression for heterogeneous patient cohorts. J. Biomed. Informatics X 4: 100059 (2019) - 2018
- Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Adam T. Moody, Brian C. Van Essen, Qinru Qiu:
Modular Spiking Neural Circuits for Mapping Long Short-Term Memory on a Neurosynaptic Processor. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 782-795 (2018) - 2017
- Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Adam T. Moody, Brian C. Van Essen, Qinru Qiu:
A spike-based long short-term memory on a neurosynaptic processor. ICCAD 2017: 631-637 - Md. Zahangir Alom, Brian Van Essen, Adam T. Moody, David Peter Widemann, Tarek M. Taha:
Convolutional sparse coding on neurosynaptic cognitive system. IJCNN 2017: 3609-3616 - Md. Zahangir Alom, Brian Van Essen, Adam T. Moody, David Peter Widemann, Tarek M. Taha:
Quadratic Unconstrained Binary Optimization (QUBO) on neuromorphic computing system. IJCNN 2017: 3922-3929 - 2016
- Jun Sawada, Filipp Akopyan, Andrew S. Cassidy, Brian Taba, Michael V. DeBole, Pallab Datta, Rodrigo Alvarez-Icaza, Arnon Amir, John V. Arthur, Alexander Andreopoulos, Rathinakumar Appuswamy, Heinz Baier, Davis Barch, David J. Berg, Carmelo di Nolfo, Steven K. Esser, Myron Flickner, Thomas A. Horvath, Bryan L. Jackson, Jeff Kusnitz, Scott Lekuch, Michael Mastro, Timothy Melano, Paul A. Merolla, Steven E. Millman, Tapan K. Nayak, Norm Pass, Hartmut E. Penner, William P. Risk, Kai Schleupen, Benjamin G. Shaw, Hayley Wu, Brian Giera, Adam T. Moody, T. Nathan Mundhenk, Brian Van Essen, Eric X. Wang, David P. Widemann, Qing Wu, William E. Murphy, Jamie K. Infantolino, James A. Ross, Dale R. Shires, Manuel M. Vindiola, Raju Namburu, Dharmendra S. Modha:
Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications. SC 2016: 130-141 - 2014
- Matthew J. Hirn, David P. Widemann:
Frames for subspaces of $\mathbb{C}N$. CoRR abs/1410.5206 (2014) - 2010
- Zhiying Liu, David Lorge Parnas, Baltasar Trancón y Widemann:
Documenting and verifying systems assembled from components. Frontiers Comput. Sci. China 4(2): 151-161 (2010) - 2007
- Baltasar Trancón y Widemann, David Lorge Parnas:
Tabular Expressions and Total Functional Programming. IFL 2007: 219-236
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