Nadav Cohen - RankMe

43 papers A* 13A 1Journal 26Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Outcome-Based RL Provably Leads Transformers to Reason, but Only With the Right Data. CoRR Yuval Ran-Milo, Yotam Alexander, Shahar Mendel, Nadav Cohen
2025	A*	`conf`	DeciMamba: Exploring the Length Extrapolation Potential of Mamba. ICLR Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein, Nadav Cohen, Amir Globerson, Lior Wolf, Raja Giryes
2025	J	`jnl`	Do Neural Networks Need Gradient Descent to Generalize? A Theoretical Study. CoRR Yotam Alexander, Yonatan Slutzky, Yuval Ran-Milo, Nadav Cohen
2024	J	`jnl`	DeciMamba: Exploring the Length Extrapolation Potential of Mamba. CoRR Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein, Nadav Cohen, Amir Globerson, Lior Wolf, Raja Giryes
2024	A*	`conf`	Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States. ICML Noam Razin, Yotam Alexander, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen
2024	J	`jnl`	Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States. CoRR Noam Razin, Yotam Alexander, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen
2024	J	`jnl`	Lecture Notes on Linear Neural Networks: A Tale of Optimization and Generalization in Deep Learning. CoRR Nadav Cohen, Noam Razin
2024	A*	`conf`	Provable Benefits of Complex Parameterizations for Structured State Space Models. NeurIPS Yuval Ran-Milo, Eden Lumbroso, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen
2024	J	`jnl`	Provable Benefits of Complex Parameterizations for Structured State Space Models. CoRR Yuval Ran-Milo, Eden Lumbroso, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen
2024	J	`jnl`	The Implicit Bias of Structured State Space Models Can Be Poisoned With Clean Labels. CoRR Yonatan Slutzky, Yotam Alexander, Noam Razin, Nadav Cohen
2023	A*	`conf`	Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets. ICLR Edo Cohen-Karlik, Itamar Menuhin-Gruman, Raja Giryes, Nadav Cohen, Amir Globerson
2023	A*	`conf`	On the Ability of Graph Neural Networks to Model Interactions Between Vertices. NeurIPS Noam Razin, Tom Verbin, Nadav Cohen
2023	A*	`conf`	What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement. NeurIPS Yotam Alexander, Nimrod De La Vega, Noam Razin, Nadav Cohen
2023	J	`jnl`	What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement. CoRR Yotam Alexander, Nimrod De La Vega, Noam Razin, Nadav Cohen
2022	A*	`conf`	Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks. ICML Noam Razin, Asaf Maman, Nadav Cohen
2022	J	`jnl`	Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks. CoRR Noam Razin, Asaf Maman, Nadav Cohen
2022	J	`jnl`	Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network. CoRR Edo Cohen-Karlik, Itamar Menuhin-Gruman, Nadav Cohen, Raja Giryes, Amir Globerson
2022	J	`jnl`	On the Ability of Graph Neural Networks to Model Interactions Between Vertices. CoRR Noam Razin, Tom Verbin, Nadav Cohen
2022	A	`conf`	On the Implicit Bias of Gradient Descent for Temporal Extrapolation. AISTATS Edo Cohen-Karlik, Avichai Ben David, Nadav Cohen, Amir Globerson
2022	J	`jnl`	On the Implicit Bias of Gradient Descent for Temporal Extrapolation. CoRR Edo Cohen-Karlik, Avichai Ben David, Nadav Cohen, Amir Globerson
2021	A*	`conf`	Continuous vs. Discrete Optimization of Deep Neural Networks. NeurIPS Omer Elkabetz, Nadav Cohen
2021	J	`jnl`	Continuous vs. Discrete Optimization of Deep Neural Networks. CoRR Omer Elkabetz, Nadav Cohen
2021	A*	`conf`	Implicit Regularization in Tensor Factorization. ICML Noam Razin, Asaf Maman, Nadav Cohen
2021	J	`jnl`	Implicit Regularization in Tensor Factorization. CoRR Noam Razin, Asaf Maman, Nadav Cohen
2020	A*	`conf`	Implicit Regularization in Deep Learning May Not Be Explainable by Norms. NeurIPS Noam Razin, Nadav Cohen
2020	J	`jnl`	Implicit Regularization in Deep Learning May Not Be Explainable by Norms. CoRR Noam Razin, Nadav Cohen
2018	—	`conf`	Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions. ICLR Nadav Cohen, Ronen Tamari, Amnon Shashua
2018	J	`jnl`	Bridging Many-Body Quantum Physics and Deep Learning via Tensor Networks. CoRR Yoav Levine, Or Sharir, Nadav Cohen, Amnon Shashua
2018	—	`conf`	Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design. ICLR (Poster) Yoav Levine, David Yakira, Nadav Cohen, Amnon Shashua
2017	J	`jnl`	Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions. CoRR Nadav Cohen, Or Sharir, Yoav Levine, Ronen Tamari, David Yakira, Amnon Shashua
2017	J	`jnl`	Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions. CoRR Nadav Cohen, Ronen Tamari, Amnon Shashua
2017	J	`jnl`	Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design. CoRR Yoav Levine, David Yakira, Nadav Cohen, Amnon Shashua
2017	—	`conf`	Inductive Bias of Deep Convolutional Networks through Pooling Geometry. ICLR (Poster) Nadav Cohen, Amnon Shashua
2016	A*	`conf`	Convolutional Rectifier Networks as Generalized Tensor Decompositions. ICML Nadav Cohen, Amnon Shashua
2016	J	`jnl`	Convolutional Rectifier Networks as Generalized Tensor Decompositions. CoRR Nadav Cohen, Amnon Shashua
2016	A*	`conf`	Deep SimNets. CVPR Nadav Cohen, Or Sharir, Amnon Shashua
2016	J	`jnl`	Inductive Bias of Deep Convolutional Networks through Pooling Geometry. CoRR Nadav Cohen, Amnon Shashua
2016	A*	`conf`	On the Expressive Power of Deep Learning: A Tensor Analysis. COLT Nadav Cohen, Or Sharir, Amnon Shashua
2016	J	`jnl`	Tensorial Mixture Models. CoRR Or Sharir, Ronen Tamari, Nadav Cohen, Amnon Shashua
2015	J	`jnl`	Deep SimNets. CoRR Nadav Cohen, Or Sharir, Amnon Shashua
2015	J	`jnl`	On the Expressive Power of Deep Learning: A Tensor Analysis. CoRR Nadav Cohen, Or Sharir, Amnon Shashua
2014	J	`jnl`	SimNets: A Generalization of Convolutional Networks. CoRR Nadav Cohen, Amnon Shashua
2012	J	`jnl`	Complex Floating Point - A Novel Data Word Representation for DSP Processors. IEEE Trans. Circuits Syst. I Regul. Pap. Nadav Cohen, Shlomo Weiss