2 citations · 2 across the 1 of their papers we have counts for
4 papers
Primal-Dual Sequential Subspace Optimization for Saddle-point Problems
Yoni Choukroun, Michael Zibulevsky, Pavel Kisilev
We introduce a new sequential subspace optimization method for large-scale saddle-point problems. It solves iteratively a sequence of auxiliary saddle-point problems in low-dimensi…
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…
Deep Discriminative Latent Space for Clustering
Elad Tzoreff, Olga Kogan, Yoni Choukroun
Clustering is one of the most fundamental tasks in data analysis and machine learning. It is central to many data-driven applications that aim to separate the data into groups with…
Deep Learning for Decoding of Linear Codes - A Syndrome-Based Approach
Amir Bennatan, Yoni Choukroun, Pavel Kisilev
We present a novel framework for applying deep neural networks (DNN) to soft decoding of linear codes at arbitrary block lengths. Unlike other approaches, our framework allows unco…