David P. Widemann

14 papers A* 1A 2Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection. HPEC Lakshmi Nair, David P. Widemann, Brad Turcott, Nick Moore, Alexandra Wleklinski, Darius Bunandar, Ioannis Papavasileiou, Shihu Wang, Eric Logan
2023	J	`jnl`	Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection. CoRR Lakshmi Nair, David P. Widemann, Brad Turcott, Nick Moore, Alexandra Wleklinski, Darius Bunandar, Ioannis Papavasileiou, Shihu Wang, Eric Logan
2022	J	`jnl`	A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder. J. Comput. Phys. Youngkyu Kim, Youngsoo Choi, David P. Widemann, Tarek I. Zohdi
2022	J	`jnl`	Adaptive Block Floating-Point for Analog Deep Learning Hardware. CoRR Ayon Basumallik, Darius Bunandar, Nicholas Dronen, Nicholas C. Harris, Ludmila Levkova, Calvin McCarter, Lakshmi Nair, David Walter, David P. Widemann
2022	A*	`conf`	Latent Space Simulation for Carbon Capture Design Optimization. AAAI Brian R. Bartoldson, Rui Wang, Yucheng Fu, David P. Widemann, Sam Nguyen, Jie Bao, Zhijie Xu, Brenda Ng
2021	J	`jnl`	Latent Space Simulation for Carbon Capture Design Optimization. CoRR Brian R. Bartoldson, Rui Wang, Yucheng Fu, David P. Widemann, Sam Nguyen, Jie Bao, Zhijie Xu, Brenda Ng
2020	J	`jnl`	A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder. CoRR Youngkyu Kim, Youngsoo Choi, David P. Widemann, Tarek I. Zohdi
2020	J	`jnl`	Efficient nonlinear manifold reduced order model. CoRR Youngkyu Kim, Youngsoo Choi, David P. Widemann, Tarek I. Zohdi
2019	J	`jnl`	Bayesian multitask learning regression for heterogeneous patient cohorts. J. Biomed. Informatics X André R. Gonçalves, Priyadip Ray, Braden Soper, David P. Widemann, Mari Nygård, Jan F. Nygård, Ana Paula Sales
2018	J	`jnl`	Modular Spiking Neural Circuits for Mapping Long Short-Term Memory on a Neurosynaptic Processor. IEEE J. Emerg. Sel. Topics Circuits Syst. Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Adam T. Moody, Brian C. Van Essen, Qinru Qiu
2017	A	`conf`	A spike-based long short-term memory on a neurosynaptic processor. ICCAD Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Adam T. Moody, Brian C. Van Essen, Qinru Qiu
2016	A	`conf`	Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications. SC 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
2014	J	`jnl`	Frames for subspaces of $\mathbb{C}^N$. CoRR Matthew J. Hirn, David P. Widemann
2008	—	`—`	Dimensionality reduction for hyperspectral data. David P. Widemann