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Nadav Cohen 0001
Person information
- affiliation: Tel Aviv University, Israel
Other persons with the same name
- Nadav Cohen — disambiguation page
- Nadav Cohen 0002
— University of Haifa, Haifa, Israel
- Nadav Cohen 0003
- Nadav Cohen 0004 — Ben-Gurion University of the Negev, Beer-Sheva, Israel
- Nadav Cohen 0005 — Hebrew University of Jerusalem, Jerusalem, Israel
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2020 – today
- 2025
- [c17]Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein, Nadav Cohen, Amir Globerson, Lior Wolf, Raja Giryes:
DeciMamba: Exploring the Length Extrapolation Potential of Mamba. ICLR 2025 - 2024
- [c16]Noam Razin, Yotam Alexander, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen:
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States. ICML 2024 - [c15]Yuval Ran-Milo, Eden Lumbroso, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen:
Provable Benefits of Complex Parameterizations for Structured State Space Models. NeurIPS 2024 - [i23]Noam Razin, Yotam Alexander, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen:
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States. CoRR abs/2402.07875 (2024) - [i22]Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein, Nadav Cohen, Amir Globerson, Lior Wolf, Raja Giryes:
DeciMamba: Exploring the Length Extrapolation Potential of Mamba. CoRR abs/2406.14528 (2024) - [i21]Nadav Cohen, Noam Razin:
Lecture Notes on Linear Neural Networks: A Tale of Optimization and Generalization in Deep Learning. CoRR abs/2408.13767 (2024) - [i20]Yonatan Slutzky, Yotam Alexander, Noam Razin, Nadav Cohen:
The Implicit Bias of Structured State Space Models Can Be Poisoned With Clean Labels. CoRR abs/2410.10473 (2024) - [i19]Yuval Ran-Milo, Eden Lumbroso, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen:
Provable Benefits of Complex Parameterizations for Structured State Space Models. CoRR abs/2410.14067 (2024) - 2023
- [c14]Edo Cohen-Karlik, Itamar Menuhin-Gruman, Raja Giryes, Nadav Cohen, Amir Globerson:
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets. ICLR 2023 - [c13]Yotam Alexander, Nimrod De La Vega, Noam Razin, Nadav Cohen:
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement. NeurIPS 2023 - [c12]Noam Razin, Tom Verbin, Nadav Cohen:
On the Ability of Graph Neural Networks to Model Interactions Between Vertices. NeurIPS 2023 - [i18]Yotam Alexander, Nimrod De La Vega, Noam Razin, Nadav Cohen:
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement. CoRR abs/2303.11249 (2023) - 2022
- [c11]Edo Cohen-Karlik, Avichai Ben David, Nadav Cohen, Amir Globerson:
On the Implicit Bias of Gradient Descent for Temporal Extrapolation. AISTATS 2022: 10966-10981 - [c10]Noam Razin, Asaf Maman, Nadav Cohen:
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks. ICML 2022: 18422-18462 - [i17]Noam Razin, Asaf Maman, Nadav Cohen:
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks. CoRR abs/2201.11729 (2022) - [i16]Edo Cohen-Karlik, Avichai Ben David, Nadav Cohen, Amir Globerson:
On the Implicit Bias of Gradient Descent for Temporal Extrapolation. CoRR abs/2202.04302 (2022) - [i15]Edo Cohen-Karlik, Itamar Menuhin-Gruman, Nadav Cohen, Raja Giryes, Amir Globerson:
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network. CoRR abs/2210.14064 (2022) - [i14]Noam Razin, Tom Verbin, Nadav Cohen:
On the Ability of Graph Neural Networks to Model Interactions Between Vertices. CoRR abs/2211.16494 (2022) - 2021
- [c9]Noam Razin, Asaf Maman, Nadav Cohen:
Implicit Regularization in Tensor Factorization. ICML 2021: 8913-8924 - [c8]Omer Elkabetz, Nadav Cohen:
Continuous vs. Discrete Optimization of Deep Neural Networks. NeurIPS 2021: 4947-4960 - [i13]Noam Razin, Asaf Maman, Nadav Cohen:
Implicit Regularization in Tensor Factorization. CoRR abs/2102.09972 (2021) - [i12]Omer Elkabetz, Nadav Cohen:
Continuous vs. Discrete Optimization of Deep Neural Networks. CoRR abs/2107.06608 (2021) - 2020
- [c7]Noam Razin, Nadav Cohen:
Implicit Regularization in Deep Learning May Not Be Explainable by Norms. NeurIPS 2020 - [i11]Noam Razin, Nadav Cohen:
Implicit Regularization in Deep Learning May Not Be Explainable by Norms. CoRR abs/2005.06398 (2020)
2010 – 2019
- 2018
- [c6]Nadav Cohen, Ronen Tamari, Amnon Shashua:
Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions. ICLR 2018 - [c5]Yoav Levine, David Yakira, Nadav Cohen, Amnon Shashua:
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design. ICLR (Poster) 2018 - [i10]Yoav Levine, Or Sharir, Nadav Cohen, Amnon Shashua:
Bridging Many-Body Quantum Physics and Deep Learning via Tensor Networks. CoRR abs/1803.09780 (2018) - 2017
- [c4]Nadav Cohen, Amnon Shashua:
Inductive Bias of Deep Convolutional Networks through Pooling Geometry. ICLR (Poster) 2017 - [i9]Nadav Cohen, Ronen Tamari, Amnon Shashua:
Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions. CoRR abs/1703.06846 (2017) - [i8]Yoav Levine, David Yakira, Nadav Cohen, Amnon Shashua:
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design. CoRR abs/1704.01552 (2017) - [i7]Nadav Cohen, Or Sharir, Yoav Levine, Ronen Tamari, David Yakira, Amnon Shashua:
Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions. CoRR abs/1705.02302 (2017) - 2016
- [c3]Nadav Cohen, Or Sharir, Amnon Shashua:
On the Expressive Power of Deep Learning: A Tensor Analysis. COLT 2016: 698-728 - [c2]Nadav Cohen, Or Sharir
Deep SimNets. CVPR 2016: 4782-4791 - [c1]Nadav Cohen, Amnon Shashua:
Convolutional Rectifier Networks as Generalized Tensor Decompositions. ICML 2016: 955-963 - [i6]Nadav Cohen, Amnon Shashua:
Convolutional Rectifier Networks as Generalized Tensor Decompositions. CoRR abs/1603.00162 (2016) - [i5]Nadav Cohen, Amnon Shashua:
Inductive Bias of Deep Convolutional Networks through Pooling Geometry. CoRR abs/1605.06743 (2016) - [i4]Or Sharir, Ronen Tamari, Nadav Cohen, Amnon Shashua:
Tensorial Mixture Models. CoRR abs/1610.04167 (2016) - 2015
- [i3]Nadav Cohen, Or Sharir, Amnon Shashua:
Deep SimNets. CoRR abs/1506.03059 (2015) - [i2]Nadav Cohen, Or Sharir, Amnon Shashua:
On the Expressive Power of Deep Learning: A Tensor Analysis. CoRR abs/1509.05009 (2015) - 2014
- [i1]Nadav Cohen, Amnon Shashua:
SimNets: A Generalization of Convolutional Networks. CoRR abs/1410.0781 (2014) - 2012
- [j1]Nadav Cohen, Shlomo Weiss:
Complex Floating Point - A Novel Data Word Representation for DSP Processors. IEEE Trans. Circuits Syst. I Regul. Pap. 59-I(10): 2252-2262 (2012)
Coauthor Index
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last updated on 2025-05-23 00:36 CEST by the dblp team
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