Nadav Cohen

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i10-indeks	22	22

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Amnon ShashuaProfessor of Computer Science, the Hebrew University of JerusalemPotvrđena adresa e-pošte na cs.huji.ac.il
Or SharirCalifornia Institute of TechnologyPotvrđena adresa e-pošte na caltech.edu
Yoav LevineAA-I TechnologiesPotvrđena adresa e-pošte na doubleai.com
Sanjeev AroraProfessor of Computer Science, Princeton UniversityPotvrđena adresa e-pošte na cs.princeton.edu
Noam RazinPostdoctoral Fellow, Princeton Language and Intelligence, Princeton UniversityPotvrđena adresa e-pošte na princeton.edu
Wei HuAssistant Professor of Computer Science and Engineering, University of MichiganPotvrđena adresa e-pošte na umich.edu
Michal IraniProfessor of Computer Science, Weizmann InstitutePotvrđena adresa e-pošte na weizmann.ac.il
Assaf ShocherPostdoctoral fellow, UC BerkeleyPotvrđena adresa e-pošte na berkeley.edu
Ronen TamariAstera InstitutePotvrđena adresa e-pošte na astera.org
Yuping LuoComputer Science Department, Princeton UniversityPotvrđena adresa e-pošte na cs.princeton.edu
Elad HazanProfessor at Princeton University and Director Google AI PrincetonPotvrđena adresa e-pošte na princeton.edu
Noah GolowichMITPotvrđena adresa e-pošte na mit.edu
Asaf MamanAlgorithm Team Lead, MobileyePotvrđena adresa e-pošte na mobileye.com
Amir GlobersonTel Aviv UniversityPotvrđena adresa e-pošte na post.tau.ac.il
Omer ElkabetzTel Aviv UniversityPotvrđena adresa e-pošte na mail.tau.ac.il
Edo Cohen-KarlikTel Aviv UniversityPotvrđena adresa e-pošte na mail.tau.ac.il
Raja GiryesAssociate Professor, Tel Aviv UniversityPotvrđena adresa e-pošte na tauex.tau.ac.il
Lorenzo RosascoMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaPotvrđena adresa e-pošte na unige.it
Fabio AnselmiAssistant professor at University of Trieste, MIT affiliatePotvrđena adresa e-pošte na units.it
TOMASO POGGIOMcDermott Professor in Brain Sciences, MITPotvrđena adresa e-pošte na ai.mit.edu

Prati

Nadav Cohen

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

Potvrđena adresa e-pošte na tauex.tau.ac.il - Početna stranica

Artificial Intelligence Neural Networks Learning Theory Learning for Control Tensor Analysis


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
"Zero-Shot" Super-Resolution Using Deep Internal Learning A Shocher, N Cohen, M Irani Conference on Computer Vision and Pattern Recognition (CVPR), 2018	959	2018
On the Expressive Power of Deep Learning: A Tensor Analysis N Cohen, O Sharir, A Shashua Conference on Learning Theory (COLT), 2016	577	2016
Implicit Regularization in Deep Matrix Factorization S Arora, N Cohen, W Hu, Y Luo Conference on Neural Information Processing Systems (NeurIPS), Spotlight …, 2019	554	2019
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization S Arora, N Cohen, E Hazan International Conference on Machine Learning (ICML), 2018	551	2018
A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks S Arora, N Cohen, N Golowich, W Hu International Conference on Learning Representations (ICLR), 2019	285	2019
Quantum Entanglement in Deep Learning Architectures Y Levine, O Sharir, N Cohen, A Shashua Physical Review Letters (PRL) 122 (6), 2019	250	2019
Convolutional Rectifier Networks as Generalized Tensor Decompositions N Cohen, A Shashua International Conference on Machine Learning (ICML), 2016	189	2016
Implicit Regularization in Deep Learning May Not Be Explainable by Norms N Razin, N Cohen Conference on Neural Information Processing Systems (NeurIPS), 2020	172	2020
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design Y Levine, D Yakira, N Cohen, A Shashua International Conference on Learning Representations (ICLR), 2018	147*	2018
Inductive Bias of Deep Convolutional Networks through Pooling Geometry N Cohen, A Shashua International Conference on Learning Representations (ICLR), 2017	140	2017
Bridging Many-Body Quantum Physics and Deep Learning via Tensor Networks Y Levine, O Sharir, N Cohen, A Shashua Mathematical Aspects of Deep Learning, 2022	89*	2022
Deep SimNets N Cohen, O Sharir, A Shashua Conference on Computer Vision and Pattern Recognition (CVPR), 2016	56	2016
Implicit Regularization in Tensor Factorization N Razin, A Maman, N Cohen International Conference on Machine Learning (ICML), 2021	52	2021
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	46*	2017
Tensorial Mixture Models O Sharir, R Tamari, N Cohen, A Shashua arXiv preprint 1610.04167, 2016	41*	2016
Continuous vs. Discrete Optimization of Deep Neural Networks O Elkabetz, N Cohen Conference on Neural Information Processing Systems (NeurIPS), Spotlight …, 2021	39	2021
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks N Razin, A Maman, N Cohen International Conference on Machine Learning (ICML), 2022	31	2022
Tensors for Deep Learning Theory: Analyzing Deep Learning Architectures via Tensorization Y Levine, N Wies, O Sharir, N Cohen, A Shashua Tensors for Data Processing, 2022	28*	2022
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	27	2015
Simnets: A Generalization of Convolutional Networks N Cohen, A Shashua Conference on Neural Information Processing Systems (NeurIPS), Deep Learning …, 2014	27	2014

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