Search Results for author: Sarel Cohen

Found 6 papers, 2 papers with code

Non-Volatile Memory Accelerated Geometric Multi-Scale Resolution Analysis

no code implementations21 Feb 2022 Andrew Wood, Moshik Hershcovitch, Daniel Waddington, Sarel Cohen, Meredith Wolf, Hongjun Suh, Weiyu Zong, Peter Chin

Dimensionality reduction algorithms are frequently used to augment downstream tasks such as machine learning, data science, and also are exploratory methods for understanding complex phenomena.

Dimensionality Reduction

What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization

1 code implementation25 Jan 2022 Maximilian Böther, Otto Kißig, Martin Taraz, Sarel Cohen, Karen Seidel, Tobias Friedrich

Second, using our benchmark suite, we conduct an in-depth analysis of the popular guided tree search algorithm by Li et al. [NeurIPS 2018], testing various configurations on small and large synthetic and real-world graphs.

Combinatorial Optimization Graph Learning

What’s Wrong with Deep Learning in Tree Search for Combinatorial Optimization

no code implementations ICLR 2022 Maximilian Böther, Otto Kißig, Martin Taraz, Sarel Cohen, Karen Seidel, Tobias Friedrich

Second, using our benchmark suite, we conduct an in-depth analysis of the popular guided tree search algorithm by Li et al. [NeurIPS 2018], testing various configurations on small and large synthetic and real-world graphs.

Combinatorial Optimization

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation

3 code implementations CVPR 2020 Sharon Fogel, Hadar Averbuch-Elor, Sarel Cohen, Shai Mazor, Roee Litman

This is especially true for handwritten text recognition (HTR), where each author has a unique style, unlike printed text, where the variation is smaller by design.

Domain Adaptation Handwriting generation +3

Cannot find the paper you are looking for? You can Submit a new open access paper.