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Zachariah Carmichael
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Deep Positron: A Deep Neural Network Using the Posit Number System
Z Carmichael, HF Langroudi, C Khazanov, J Lillie, JL Gustafson, ...
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2019
642019
Performance-Efficiency Trade-Off of Low-Precision Numerical Formats in Deep Neural Networks
Z Carmichael, HF Langroudi, C Khazanov, J Lillie, JL Gustafson, ...
Proceedings of the Conference for Next Generation Arithmetic, 1-9, 2019
352019
SIRNet: Understanding Social Distancing Measures with Hybrid Neural Network Model for COVID-19 Infectious Spread
N Soures, D Chambers, Z Carmichael, A Daram, DP Shah, K Clark, ...
Proceedings of the International Joint Conference on Artificial Intelligence …, 2020
322020
Cheetah: Mixed Low-Precision Hardware & Software Co-Design Framework for DNNs on the Edge
HF Langroudi, Z Carmichael, D Pastuch, D Kudithipudi
arXiv preprint arXiv:1908.02386, 2019
152019
PositNN Framework: Tapered Precision Deep Learning Inference for the Edge
HF Langroudi, Z Carmichael, JL Gustafson, D Kudithipudi
2019 IEEE Space Computing Conference (SCC), 53-59, 2019
142019
Deep Learning Training on the Edge with Low-Precision Posits
HF Langroudi, Z Carmichael, D Kudithipudi
arXiv preprint arXiv:1907.13216, 2019
112019
Mod-DeepESN: Modular Deep Echo State Network
Z Carmichael, H Syed, S Burtner, D Kudithipudi
Annual Conference on Cognitive Computational Neuroscience, 2018
112018
Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting
Z Carmichael, H Syed, D Kudithipudi
Proceedings of the 7th Annual Neuro-inspired Computational Elements Workshop …, 2019
62019
Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems
S Abraham, Z Carmichael, S Banerjee, R VidalMata, A Agrawal, ...
1st Workshop on AI Engineering – Software Engineering for AI (WAIN'21), 2021
42021
ALPS: Adaptive Quantization of Deep Neural Networks With GeneraLized PositS
HF Langroudi, V Karia, Z Carmichael, A Zyarah, T Pandit, JL Gustafson, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
12021
PositNN: Tapered Precision Deep Learning Inference for the Edge
HF Langroudi, Z Carmichael, JL Gustafson, D Kudithipudi
12018
Motif Mining: Finding and Summarizing Remixed Image Content
W Theisen, D Gonzalez, Z Carmichael, D Moreira, T Weninger, ...
arXiv preprint arXiv:2203.08327, 2022
2022
Learning Interpretable Models Through Multi-Objective Neural Architecture Search
Z Carmichael, T Moon, SA Jacobs
arXiv preprint arXiv:2112.08645, 2021
2021
Explainable Neural Architecture Search (XNAS)
ZJ Carmichael, TY Moon, SA Jacobs
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2021
2021
On the Objective Evaluation of Post Hoc Explainers
Z Carmichael, WJ Scheirer
arXiv preprint arXiv:2106.08376, 2021
2021
Stochastic Tucker-Decomposed Recurrent Neural Networks for Forecasting
Z Carmichael, D Kudithipudi
2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019
2019
Towards Lightweight AI: Leveraging Stochasticity, Quantization, and Tensorization for Forecasting
ZJL Carmichael
Rochester Institute of Technology, 2019
2019
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Articles 1–17