SDNoC: Software defined network on a chip. - Konstantin Berestizshevsky; Guy Even; Yaniv Fais; Jonatan Ostrometzky (Microprocess. Microsystems, 2017)

Sacrificing Accuracy for Reduced Computation: Cascaded Inference Based on Softmax Confidence. - Konstantin Berestizshevsky; Guy Even (CoRR, 2018)

Decoupled Branch Predictor for Embedded DSP. - Konstantin Berestizshevsky; Shlomo Weiss (IEEE Embed. Syst. Lett., 2018)

Sign Based Derivative Filtering for Stochastic Gradient Descent. - Konstantin Berestizshevsky; Guy Even (ICANN (2), 2019)

Dynamically Sacrificing Accuracy for Reduced Computation: Cascaded Inference Based on Softmax Confidence. - Konstantin Berestizshevsky; Guy Even (ICANN (2), 2019)

Physics-Informed Deep Neural Network Method for Limited Observability State Estimation. - Jonatan Ostrometzky; Konstantin Berestizshevsky; Andrey Bernstein; Gil Zussman (CoRR, 2019)

Optimization of resource-constrained policies for COVID-19 testing and quarantining. - Konstantin Berestizshevsky; Koffi-Emmanuel Sadzi; Guy Even; Moni Shahar (J. Commun. Networks, 2021)

Identifying and Exploiting Sparse Branch Correlations for Optimizing Branch Prediction. - Anastasios Zouzias; Kleovoulos Kalaitzidis; Konstantin Berestizshevsky; Renzo Andri; Leeor Peled; Zhe Wang 023 (CoRR, 2022)

Top-Theta Attention: Sparsifying Transformers by Compensated Thresholding. - Konstantin Berestizshevsky; Renzo Andri; Lukas Cavigelli (CoRR, 2025)