19 citations · 40 across the 14 of their papers we have counts for
5 papers · 1 filter
Adaptive Consensus Gradients Aggregation for Scaled Distributed Training
Yoni Choukroun, Shlomi Azoulay, Pavel Kisilev
Distributed machine learning has recently become a critical paradigm for training large models on vast datasets. We examine the stochastic optimization problem for deep learning wi…
Accelerating Error Correction Code Transformers
Matan Levy, Yoni Choukroun, Lior Wolf
Error correction codes (ECC) are crucial for ensuring reliable information transmission in communication systems. Choukroun & Wolf (2022b) recently introduced the Error Correction…
Error Correction Code Transformer
Yoni Choukroun, Lior Wolf
Error correction code is a major part of the communication physical layer, ensuring the reliable transfer of data over noisy channels. Recently, neural decoders were shown to outpe…
Geometric Transformer for End-to-End Molecule Properties Prediction
Yoni Choukroun, Lior Wolf
Transformers have become methods of choice in many applications thanks to their ability to represent complex interactions between elements. However, extending the Transformer archi…
Low-bit Quantization of Neural Networks for Efficient Inference
Yoni Choukroun, Eli Kravchik, Fan Yang +1
Recent machine learning methods use increasingly large deep neural networks to achieve state of the art results in various tasks. The gains in performance come at the cost of a sub…