Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection

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

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, I.2.10, I.5.0

Access URL: http://arxiv.org/abs/2309.16783

Adaptive Block Floating-Point for Analog Deep Learning Hardware

Authors: Basumallik, Ayon, Bunandar, Darius, Dronen, Nicholas, Harris, Nicholas, Levkova, Ludmila, McCarter, Calvin, Nair, Lakshmi, Walter, David, Widemann, David

Subject Terms: Computer Science - Machine Learning, Computer Science - Hardware Architecture

Access URL: http://arxiv.org/abs/2205.06287

Latent Space Simulation for Carbon Capture Design Optimization

Authors: Bartoldson, Brian, Wang, Rui, Fu, Yucheng, Widemann, David, Nguyen, Sam, Bao, Jie, Xu, Zhijie, Ng, Brenda

Subject Terms: Computer Science - Machine Learning, Computer Science - Computational Engineering, Finance, and Science

Access URL: http://arxiv.org/abs/2112.11656

Efficient nonlinear manifold reduced order model

Authors: Kim, Youngkyu, Choi, Youngsoo, Widemann, David, Zohdi, Tarek

Subject Terms: Mathematics - Numerical Analysis, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing

Access URL: http://arxiv.org/abs/2011.07727

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

Authors: Kim, Youngkyu, Choi, Youngsoo, Widemann, David, Zohdi, Tarek

Subject Terms: Mathematics - Numerical Analysis, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing

Access URL: http://arxiv.org/abs/2009.11990

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

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

Source: 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD) Computer-Aided Design (ICCAD), 2017 IEEE/ACM International Conference on. :631-637 Nov, 2017

Relation: 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)

Convolutional sparse coding on neurosynaptic cognitive system

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

Source: 2017 International Joint Conference on Neural Networks (IJCNN) Neural Networks (IJCNN), 2017 International Joint Conference on. :3609-3616 May, 2017

Relation: 2017 International Joint Conference on Neural Networks (IJCNN)

Quadratic Unconstrained Binary Optimization (QUBO) on neuromorphic computing system

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

Source: 2017 International Joint Conference on Neural Networks (IJCNN) Neural Networks (IJCNN), 2017 International Joint Conference on. :3922-3929 May, 2017

Relation: 2017 International Joint Conference on Neural Networks (IJCNN)

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

Authors: Hirn, Matthew, Widemann, David

Subject Terms: Computer Science - Information Theory, Mathematics - Classical Analysis and ODEs

Access URL: http://arxiv.org/abs/1410.5206

Bayesian multitask learning regression for heterogeneous patient cohorts

Authors: Goncalves, Andre, Ray, Priyadip, Soper, Braden, Widemann, David, Nygård, Mari, Nygård, Jan F., Sales, Ana Paula

Source: In Journal of Biomedical Informatics 2019 100 Supplement

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

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

Source: IEEE journal on emerging and selected topics in circuits and systems. 8(4):782-795

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100075471260.0x000001&indx=1&recIds=ETOCvdc_100075471260.0x000001

Improving five-year survival prediction via multitask learning across HPV-related cancers.

Authors: Goncalves, Andre, Soper, Braden, Nygård, Mari, Nygård, Jan F., Ray, Priyadip, Widemann, David, Sales, Ana Paula

Source: PLoS ONE; 11/16/2020, Vol. 15 Issue 11, p1-25, 25p

Subject Terms: FORECASTING, SURVIVAL analysis (Biometry), PREDICTION models, CANCER diagnosis, INFORMATION sharing, PAPILLOMAVIRUS diseases

Geographic Terms: UNITED States

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