Gil Shomron

According to our database, Gil Shomron authored at least 11 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

The Effect of Asymmetric Transistor Aging on Systolic Arrays for Mission Critical Machine Learning Applications.

Firas Ramadan, Gil Shomron, Freddy Gabbay

IEEE Access, 2025

2023

Enhancing DNN Training Efficiency Via Dynamic Asymmetric Architecture.

Samer Kurzum, Gil Shomron, Freddy Gabbay, Uri C. Weiser

IEEE Comput. Archit. Lett., 2023

2021

Post-Training Sparsity-Aware Quantization.

Gil Shomron, Freddy Gabbay, Samer Kurzum, Uri C. Weiser

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Post-Training BatchNorm Recalibration.

Gil Shomron, Uri C. Weiser

CoRR, 2020

Robust Quantization: One Model to Rule Them All.

Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yury Nahshan, Alex M. Bronstein, Uri C. Weiser

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Non-Blocking Simultaneous Multithreading: Embracing the Resiliency of Deep Neural Networks.

Gil Shomron, Uri C. Weiser

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks.

Gil Shomron, Ron Banner, Moran Shkolnik, Uri C. Weiser

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Spatial Correlation and Value Prediction in Convolutional Neural Networks.

Gil Shomron, Uri C. Weiser

IEEE Comput. Archit. Lett., 2019

SMT-SA: Simultaneous Multithreading in Systolic Arrays.

Gil Shomron, Tal Horowitz, Uri C. Weiser

IEEE Comput. Archit. Lett., 2019

2018

Exploiting Spatial Correlation in Convolutional Neural Networks for Activation Value Prediction.

Gil Shomron, Uri C. Weiser

CoRR, 2018

2017

Optimizing Read-Once Data Flow in Big-Data Applications.

Tomer Y. Morad, Gil Shomron, Mattan Erez, Avinoam Kolodny, Uri C. Weiser

IEEE Comput. Archit. Lett., 2017