David P. Widemann

According to our database, David P. Widemann authored at least 13 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection.

Lakshmi Nair, David P. Widemann, Brad Turcott, Nick Moore, Alexandra Wleklinski, Darius Bunandar, Ioannis Papavasileiou, Shihu Wang, Eric Logan

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2022

A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder.

Youngkyu Kim, Youngsoo Choi, David P. Widemann, Tarek I. Zohdi

J. Comput. Phys., 2022

Adaptive Block Floating-Point for Analog Deep Learning Hardware.

Ayon Basumallik, Darius Bunandar, Nicholas Dronen, Nicholas C. Harris, Ludmila Levkova, Calvin McCarter, Lakshmi Nair, David Walter, David P. Widemann

CoRR, 2022

Latent Space Simulation for Carbon Capture Design Optimization.

Brian R. Bartoldson, Rui Wang, Yucheng Fu, David P. Widemann, Sam Nguyen, Jie Bao, Zhijie Xu, Brenda Ng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Efficient nonlinear manifold reduced order model.

Youngkyu Kim, Youngsoo Choi, David P. Widemann, Tarek I. Zohdi

CoRR, 2020

2019

Bayesian multitask learning regression for heterogeneous patient cohorts.

André R. Gonçalves, Priyadip Ray, Braden Soper, David P. Widemann, Mari Nygård, Jan F. Nygård, Ana Paula Sales

J. Biomed. Informatics X, 2019

2018

Modular Spiking Neural Circuits for Mapping Long Short-Term Memory on a Neurosynaptic Processor.

Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Adam T. Moody, Brian C. Van Essen, Qinru Qiu

IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

2017

Quadratic Unconstrained Binary Optimization (QUBO) on neuromorphic computing system.

Md. Zahangir Alom, Brian Van Essen, Adam T. Moody, David Peter Widemann, Tarek M. Taha

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Convolutional sparse coding on neurosynaptic cognitive system.

Md. Zahangir Alom, Brian Van Essen, Adam T. Moody, David Peter Widemann, Tarek M. Taha

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A spike-based long short-term memory on a neurosynaptic processor.

Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Adam T. Moody, Brian C. Van Essen, Qinru Qiu

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

2016

Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications.

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

Proceedings of the International Conference for High Performance Computing, 2016

2014

Frames for subspaces of $\mathbb{C}^N$.

Matthew J. Hirn, David P. Widemann

CoRR, 2014

2008

Dimensionality reduction for hyperspectral data.

David P. Widemann

PhD thesis, 2008