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Nadav Cohen
Nadav Cohen
Asst. Professor of Computer Science, Tel Aviv University
Verified email at cs.tau.ac.il - Homepage
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
4922018
On the Expressive Power of Deep Learning: A Tensor Analysis
N Cohen, O Sharir, A Shashua
29th Annual Conference on Learning Theory (COLT), 2016
4422016
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
3032018
Implicit Regularization in Deep Matrix Factorization
S Arora, N Cohen, W Hu, Y Luo
Advances in Neural Information Processing Systems 33 (NeurIPS), Spotlight …, 2019
2392019
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
1722019
Quantum Entanglement in Deep Learning Architectures
Y Levine, O Sharir, N Cohen, A Shashua
Physical Review Letters (PRL) 122 (6), 065301, 2019
1502019
Convolutional Rectifier Networks as Generalized Tensor Decompositions
N Cohen, A Shashua
Proceedings of The 33rd International Conference on Machine Learning (ICML), 2016
1482016
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
822017
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
N Razin, N Cohen
Advances in Neural Information Processing Systems 34 (NeurIPS), 2020
672020
Deep SimNets
N Cohen, O Sharir, A Shashua
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
482016
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
232014
Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions
N Cohen, R Tamari, A Shashua
6th International Conference on Learning Representations (ICLR), Oral Track …, 2018
172018
Implicit Regularization in Tensor Factorization
N Razin, A Maman, N Cohen
Proceedings of the 38th International Conference on Machine Learning (ICML), 2021
122021
Continuous vs. Discrete Optimization of Deep Neural Networks
O Elkabetz, N Cohen
Advances in Neural Information Processing Systems 35 (NeurIPS), Spotlight …, 2021
42021
Theory of Deep Learning
R Arora, S Arora, J Bruna, N Cohen, S Du, R Ge, S Gunasekar, C Jin, ...
Manuscript, 2020
42020
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
32022
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