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 LevineStanford UniversityVerified email at mail.huji.ac.il
Sanjeev AroraProfessor of Computer Science, Princeton UniversityVerified email at cs.princeton.edu
Noam RazinComputer Science PhD Candidate, Tel Aviv UniversityVerified email at cs.tau.ac.il
Wei HuAssistant Professor of Computer Science and Engineering, University of MichiganVerified email at umich.edu
Assaf ShocherPostdoctoral fellow, UC BerkeleyVerified email at berkeley.edu
Michal IraniProfessor of Computer Science, Weizmann InstituteVerified email at weizmann.ac.il
Ronen TamariPhD student, Hebrew UniversityVerified email at mail.huji.ac.il
Elad HazanProfessor at Princeton University and Director Google AI PrincetonVerified email at 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
Edo Cohen-KarlikTel Aviv UniversityVerified email at mail.tau.ac.il
Amir GlobersonTel Aviv UniversityVerified email at post.tau.ac.il
Omer ElkabetzTel 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
Fabio AnselmiAssistant professor at University of Trieste, MIT affiliateVerified email at units.it
Raja GiryesAssociate Professor, Tel Aviv UniversityVerified email at tauex.tau.ac.il

Nadav Cohen

Asst. Professor of Computer Science, Tel Aviv University | Co-Founder & Chief Scientist, Imubit

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

Artificial Intelligence Neural Networks Learning Theory Learning for Control Tensor Analysis


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	804	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	538	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	449	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	417	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	237	2019
Quantum Entanglement in Deep Learning Architectures Y Levine, O Sharir, N Cohen, A Shashua Physical Review Letters (PRL) 122 (6), 065301, 2019	211	2019
Convolutional Rectifier Networks as Generalized Tensor Decompositions N Cohen, A Shashua Proceedings of The 33rd International Conference on Machine Learning (ICML), 2016	176	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	133*	2018
Implicit Regularization in Deep Learning May Not Be Explainable by Norms N Razin, N Cohen Advances in Neural Information Processing Systems 34 (NeurIPS), 2020	130	2020
Inductive Bias of Deep Convolutional Networks through Pooling Geometry N Cohen, A Shashua 5th International Conference on Learning Representations (ICLR), 2017	111	2017
Deep SimNets N Cohen, O Sharir, A Shashua The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016	52	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	41	2017
Implicit Regularization in Tensor Factorization N Razin, A Maman, N Cohen Proceedings of the 38th International Conference on Machine Learning (ICML), 2021	37	2021
Tensorial Mixture Models O Sharir, R Tamari, N Cohen, A Shashua arXiv preprint 1610.04167, 2016	37*	2016
Bridging Many-Body Quantum Physics and Deep Learning via Tensor Networks Y Levine, O Sharir, N Cohen, A Shashua Mathematical Aspects of Deep Learning, 439, 2022	35*	2022
Continuous vs. Discrete Optimization of Deep Neural Networks O Elkabetz, N Cohen Advances in Neural Information Processing Systems 35 (NeurIPS), Spotlight …, 2021	29	2021
Simnets: A Generalization of Convolutional Networks N Cohen, A Shashua Advances in Neural Information Processing Systems 28 (NeurIPS), Deep …, 2014	25	2014
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	24	2015
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	21	2022
Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions N Cohen, R Tamari, A Shashua 6th International Conference on Learning Representations (ICLR), Oral Track …, 2018	20	2018

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