A Case for Quantifying Statistical Robustness of Specialized Probabilistic AI Accelerators
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, Other
Zhang, X; Mukherjee, S; Lebeck, A
Published in: 2019 IBM IEEE CAS/EDS – AI Compute Symposium
October 2, 2019
Duke Scholars
Published In
2019 IBM IEEE CAS/EDS – AI Compute Symposium
Publication Date
October 2, 2019
Article type
Other
Citation
APA
Chicago
ICMJE
MLA
NLM
Zhang, X., Mukherjee, S., & Lebeck, A. (2019). A Case for Quantifying Statistical Robustness of Specialized Probabilistic AI Accelerators (Accepted). 2019 IBM IEEE CAS/EDS – AI Compute Symposium.
Zhang, Xiangyu, Sayan Mukherjee, and Alvin Lebeck. “A Case for Quantifying Statistical Robustness of Specialized Probabilistic AI Accelerators (Accepted).” 2019 IBM IEEE CAS/EDS – AI Compute Symposium, October 2, 2019.
Zhang X, Mukherjee S, Lebeck A. A Case for Quantifying Statistical Robustness of Specialized Probabilistic AI Accelerators (Accepted). 2019 IBM IEEE CAS/EDS – AI Compute Symposium. 2019.
Zhang, Xiangyu, et al. “A Case for Quantifying Statistical Robustness of Specialized Probabilistic AI Accelerators (Accepted).” 2019 IBM IEEE CAS/EDS – AI Compute Symposium, 2 Oct. 2019.
Zhang X, Mukherjee S, Lebeck A. A Case for Quantifying Statistical Robustness of Specialized Probabilistic AI Accelerators (Accepted). 2019 IBM IEEE CAS/EDS – AI Compute Symposium. 2019.
Published In
2019 IBM IEEE CAS/EDS – AI Compute Symposium
Publication Date
October 2, 2019
Article type
Other