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Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations


Nov 01, 2021
Xinyu Zhang, Ian Colbert, Ken Kreutz-Delgado, Srinjoy Das


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Tuning Confidence Bound for Stochastic Bandits with Bandit Distance


Oct 06, 2021
Xinyu Zhang, Srinjoy Das, Ken Kreutz-Delgado


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Kernel distance measures for time series, random fields and other structured data


Sep 29, 2021
Srinjoy Das, Hrushikesh Mhaskar, Alexander Cloninger


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An Energy-Efficient Edge Computing Paradigm for Convolution-based Image Upsampling


Jul 26, 2021
Ian Colbert, Ken Kreutz-Delgado, Srinjoy Das


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Generative and Discriminative Deep Belief Network Classifiers: Comparisons Under an Approximate Computing Framework


Jan 31, 2021
Siqiao Ruan, Ian Colbert, Ken Kreutz-Delgado, Srinjoy Das


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A Competitive Edge: Can FPGAs Beat GPUs at DCNN Inference Acceleration in Resource-Limited Edge Computing Applications?


Jan 30, 2021
Ian Colbert, Jake Daly, Ken Kreutz-Delgado, Srinjoy Das


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PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems


Oct 28, 2019
Alexander Potapov, Ian Colbert, Ken Kreutz-Delgado, Alexander Cloninger, Srinjoy Das

* Will be presented at the Asilomar Conference on Signals, Systems, and Computers 

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AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks


Mar 26, 2019
Ian Colbert, Ken Kreutz-Delgado, Srinjoy Das


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