More from the Same Authors

• 2021 Spotlight: Continuous vs. Discrete Optimization of Deep Neural Networks »
  Omer Elkabetz · Nadav Cohen
• 2021 : Implicit Regularization in Quantum Tensor Networks »
  Nadav Cohen
• 2021 Poster: Continuous vs. Discrete Optimization of Deep Neural Networks »
  Omer Elkabetz · Nadav Cohen
• 2020 : Panel Discussion 1: Theoretical, Algorithmic and Physical »
  Jacob Biamonte · Ivan Oseledets · Jens Eisert · Nadav Cohen · Guillaume Rabusseau · Xiao-Yang Liu
• 2020 : Invited Talk 2 Q&A by Cohen »
  Nadav Cohen
• 2020 : Invited Talk 2: Expressiveness in Deep Learning via Tensor Networks and Quantum Entanglement »
  Nadav Cohen
• 2020 Workshop: First Workshop on Quantum Tensor Networks in Machine Learning »
  Xiao-Yang Liu · Qibin Zhao · Jacob Biamonte · Cesar F Caiafa · Paul Pu Liang · Nadav Cohen · Stefan Leichenauer
• 2020 Poster: Implicit Regularization in Deep Learning May Not Be Explainable by Norms »
  Noam Razin · Nadav Cohen
• 2019 Poster: Implicit Regularization in Deep Matrix Factorization »
  Sanjeev Arora · Nadav Cohen · Wei Hu · Yuping Luo
• 2019 Spotlight: Implicit Regularization in Deep Matrix Factorization »
  Sanjeev Arora · Nadav Cohen · Wei Hu · Yuping Luo
• 2018 : Poster Session »
  Sujay Sanghavi · Vatsal Shah · Yanyao Shen · Tianchen Zhao · Yuandong Tian · Tomer Galanti · Mufan Li · Gilad Cohen · Daniel Rothchild · Aristide Baratin · Devansh Arpit · Vagelis Papalexakis · Michael Perlmutter · Ashok Vardhan Makkuva · Pim de Haan · Yingyan Lin · Wanmo Kang · Cheolhyoung Lee · Hao Shen · Sho Yaida · Dan Roberts · Nadav Cohen · Philippe Casgrain · Dejiao Zhang · Tengyu Ma · Avinash Ravichandran · Julian Emilio Salazar · Bo Li · Davis Liang · Christopher Wong · Glen Bigan Mbeng · Animesh Garg