Dynamically sacrificing accuracy for reduced computation: Cascaded inference based on softmax confidence K Berestizshevsky, G Even International Conference on Artificial Neural Networks, 306-320, 2019 | 36* | 2019 |
SDNoC: Software defined network on a chip K Berestizshevsky, G Even, Y Fais, J Ostrometzky Microprocessors and Microsystems 50, 138-153, 2017 | 31 | 2017 |
Physics-informed deep neural network method for limited observability state estimation J Ostrometzky, K Berestizshevsky, A Bernstein, G Zussman arXiv preprint arXiv:1910.06401, 2019 | 25 | 2019 |
Optimization of Resource-Constrained Policies for COVID-19 Testing and Quarantining K Berestizshevsky, KE Sadzi, G Even, M Shahar Journal of Communications and Networks 23 (5), 326-339, 2021 | 5 | 2021 |
Decoupled branch predictor for embedded DSP K Berestizshevsky, S Weiss IEEE Embedded Systems Letters 10 (3), 57-60, 2017 | 3 | 2017 |
Sign Based Derivative Filtering for Stochastic Gradient Descent K Berestizshevsky, G Even Artificial Neural Networks and Machine Learning–ICANN 2019: Deep Learning …, 2019 | 2 | 2019 |
Identifying and Exploiting Sparse Branch Correlations for Optimizing Branch Prediction A Zouzias, K Kalaitzidis, K Berestizshevsky, R Andri, L Peled, Z Wang arXiv preprint arXiv:2207.14033, 2022 | | 2022 |
2021 Index journal of communications and networks, volume 23 D An, S Bahk, JY Bang, M Bao, M Baza, P Bellavista, K Berestizshevsky, ... | | |
J OURNAL OF COMMUNICATIONS AND NETWORKS H Gao, W Li, M Pan, Z Han, HV Poor, K Berestizshevsky, KE Sadzi, ... | | |