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Nadav Cohen
Nadav Cohen
Assoc. Professor of Computer Science, Tel Aviv University | CTO, President & Co-Founder, Imubit
Bestätigte E-Mail-Adresse bei tauex.tau.ac.il - Startseite
Titel
Zitiert von
Zitiert von
Jahr
"Zero-Shot" Super-Resolution Using Deep Internal Learning
A Shocher, N Cohen, M Irani
Conference on Computer Vision and Pattern Recognition (CVPR), 2018
10222018
Implicit Regularization in Deep Matrix Factorization
S Arora, N Cohen, W Hu, Y Luo
Conference on Neural Information Processing Systems (NeurIPS), Spotlight …, 2019
5992019
On the Expressive Power of Deep Learning: A Tensor Analysis
N Cohen, O Sharir, A Shashua
Conference on Learning Theory (COLT), 2016
5942016
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization
S Arora, N Cohen, E Hazan
International Conference on Machine Learning (ICML), 2018
5842018
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
3092019
Quantum Entanglement in Deep Learning Architectures
Y Levine, O Sharir, N Cohen, A Shashua
Physical Review Letters (PRL) 122 (6), 2019
2642019
Convolutional Rectifier Networks as Generalized Tensor Decompositions
N Cohen, A Shashua
International Conference on Machine Learning (ICML), 2016
1902016
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
N Razin, N Cohen
Conference on Neural Information Processing Systems (NeurIPS), 2020
1812020
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
152*2018
Inductive Bias of Deep Convolutional Networks through Pooling Geometry
N Cohen, A Shashua
International Conference on Learning Representations (ICLR), 2017
1452017
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
105*2022
Implicit Regularization in Tensor Factorization
N Razin, A Maman, N Cohen
International Conference on Machine Learning (ICML), 2021
592021
Deep SimNets
N Cohen, O Sharir, A Shashua
Conference on Computer Vision and Pattern Recognition (CVPR), 2016
562016
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
47*2017
Continuous vs. Discrete Optimization of Deep Neural Networks
O Elkabetz, N Cohen
Conference on Neural Information Processing Systems (NeurIPS), Spotlight …, 2021
462021
Tensorial Mixture Models
O Sharir, R Tamari, N Cohen, A Shashua
arXiv preprint 1610.04167, 2016
41*2016
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks
N Razin, A Maman, N Cohen
International Conference on Machine Learning (ICML), 2022
332022
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
32*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
272015
Simnets: A Generalization of Convolutional Networks
N Cohen, A Shashua
Conference on Neural Information Processing Systems (NeurIPS), Deep Learning …, 2014
272014
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