Nadav Cohen

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Amnon ShashuaProfessor of Computer Science, the Hebrew University of JerusalemVerified email at cs.huji.ac.il
Or SharirCalifornia Institute of TechnologyVerified email at caltech.edu
Yoav LevineHebrew University of JerusalemVerified email at mail.huji.ac.il
Sanjeev AroraProfessor of Computer Science, Princeton UniversityVerified email at cs.princeton.edu
Wei HuUniversity of California, BerkeleyVerified email at berkeley.edu
Ronen TamariPhD student, Hebrew UniversityVerified email at mail.huji.ac.il
Assaf ShocherPostdoctoral fellow, UC BerkeleyVerified email at berkeley.edu
Michal IraniProfessor of Computer Science, Weizmann InstituteVerified email at weizmann.ac.il
Noam RazinComputer Science PhD Candidate, Tel Aviv UniversityVerified email at cs.tau.ac.il
Elad HazanProfessor at Princeton University and Director Google AI PrincetonVerified email at cs.princeton.edu
Yuping LuoComputer Science Department, Princeton UniversityVerified email at cs.princeton.edu
Noah GolowichMITVerified email at mit.edu
Asaf MamanComputer Science MSc Student, Tel Aviv UniversityVerified email at mail.tau.ac.il
TOMASO POGGIOMcDermott Professor in Brain Sciences, MITVerified email at ai.mit.edu
Lorenzo RosascoMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaVerified email at unige.it
Omer ElkabetzTel Aviv UniversityVerified email at mail.tau.ac.il
Tengyu MAStanford UniversityVerified email at stanford.edu
Zhao SongAdobe ResearchVerified email at ias.edu
Joan BrunaCourant Institute of Mathematical Sciences, New York UniversityVerified email at cims.nyu.edu
Raman AroraDepartment of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu

Nadav Cohen

Asst. Professor of Computer Science, Tel Aviv University

Verified email at cs.tau.ac.il - Homepage

Machine Learning Deep Learning Statistical Learning Theory Tensor Analysis Non-Convex Optimization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
"Zero-Shot" Super-Resolution Using Deep Internal Learning A Shocher, N Cohen, M Irani The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018	492	2018
On the Expressive Power of Deep Learning: A Tensor Analysis N Cohen, O Sharir, A Shashua 29th Annual Conference on Learning Theory (COLT), 2016	442	2016
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization S Arora, N Cohen, E Hazan Proceedings of The 35th International Conference on Machine Learning (ICML), 2018	303	2018
Implicit Regularization in Deep Matrix Factorization S Arora, N Cohen, W Hu, Y Luo Advances in Neural Information Processing Systems 33 (NeurIPS), Spotlight …, 2019	239	2019
A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks S Arora, N Cohen, N Golowich, W Hu 7th International Conference on Learning Representations (ICLR), 2019	172	2019
Quantum Entanglement in Deep Learning Architectures Y Levine, O Sharir, N Cohen, A Shashua Physical Review Letters (PRL) 122 (6), 065301, 2019	150	2019
Convolutional Rectifier Networks as Generalized Tensor Decompositions N Cohen, A Shashua Proceedings of The 33rd International Conference on Machine Learning (ICML), 2016	148	2016
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design Y Levine, D Yakira, N Cohen, A Shashua 6th International Conference on Learning Representations (ICLR), 2018	105*	2018
Inductive Bias of Deep Convolutional Networks through Pooling Geometry N Cohen, A Shashua 5th International Conference on Learning Representations (ICLR), 2017	82	2017
Implicit Regularization in Deep Learning May Not Be Explainable by Norms N Razin, N Cohen Advances in Neural Information Processing Systems 34 (NeurIPS), 2020	67	2020
Deep SimNets N Cohen, O Sharir, A Shashua The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016	48	2016
Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions N Cohen, O Sharir, Y Levine, R Tamari, D Yakira, A Shashua Intel Collaborative Research Institute Special Issue on Deep Learning Theory, 2017	34*	2017
Tensorial Mixture Models O Sharir, R Tamari, N Cohen, A Shashua arXiv preprint 1610.04167, 2016	33*	2016
Notes on Hierarchical Splines, DCLNs and i-Theory T Poggio, L Rosasco, A Shashua, N Cohen, F Anselmi Center for Brains, Minds and Machines, 2015	23*	2015
Simnets: A Generalization of Convolutional Networks N Cohen, A Shashua Advances in Neural Information Processing Systems 28 (NeurIPS), Deep …, 2014	23	2014
Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions N Cohen, R Tamari, A Shashua 6th International Conference on Learning Representations (ICLR), Oral Track …, 2018	17	2018
Implicit Regularization in Tensor Factorization N Razin, A Maman, N Cohen Proceedings of the 38th International Conference on Machine Learning (ICML), 2021	12	2021
Continuous vs. Discrete Optimization of Deep Neural Networks O Elkabetz, N Cohen Advances in Neural Information Processing Systems 35 (NeurIPS), Spotlight …, 2021	4	2021
Theory of Deep Learning R Arora, S Arora, J Bruna, N Cohen, S Du, R Ge, S Gunasekar, C Jin, ... Manuscript, 2020	4	2020
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks N Razin, A Maman, N Cohen Proceedings of the 39th International Conference on Machine Learning (ICML), 2022	3	2022

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