Konstantin Berestizshevsky | DeepAI

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Zhe Wang
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Leeor Peled
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research

∙ 07/28/2022

Identifying and Exploiting Sparse Branch Correlations for Optimizing Branch Prediction

Branch prediction is arguably one of the most important speculative mech...

0 Anastasios Zouzias, et al. ∙

research

∙ 10/14/2019

Physics-Informed Deep Neural Network Method for Limited Observability State Estimation

The precise knowledge regarding the state of the power grid is important...

0 Jonatan Ostrometzky, et al. ∙

research

∙ 05/28/2018

Sacrificing Accuracy for Reduced Computation: Cascaded Inference Based on Softmax Confidence

We study the tradeoff between computational effort and accuracy in a cas...

0 Konstantin Berestizshevsky, et al. ∙