1 citations · 1 across the 2 of their papers we have counts for
4 papers
ContactNet: Geometric-Based Deep Learning Model for Predicting Protein-Protein Interactions
Matan Halfon, Tomer Cohen, Raanan Fattal +1
Deep learning approaches achieved significant progress in predicting protein structures. These methods are often applied to protein-protein interactions (PPIs) yet require Multiple…
Improved Approximation for Two-dimensional Vector Multiple Knapsack
Tomer Cohen, Ariel Kulik, Hadas Shachnai
We study the uniform -dimensional vector multiple knapsack (2VMK) problem, a natural variant of multiple knapsack arising in real-world applications such as virtual machine plac…
Self-Supervised Dynamic Networks for Covariate Shift Robustness
Tomer Cohen, Noy Shulman, Hai Morgenstern +2
As supervised learning still dominates most AI applications, test-time performance is often unexpected. Specifically, a shift of the input covariates, caused by typical nuisances l…
Bidirectional One-Shot Unsupervised Domain Mapping
Tomer Cohen, Lior Wolf
We study the problem of mapping between a domain , in which there is a single training sample and a domain , for which we have a richer training set. The method we present is…