Nadav Cohen

1. On the Expressive Power of Deep Learning: A Tensor Analysis
   2015/09/16 by Nadav Cohen, Or Sharir, Amnon Shashua · 1 voice · 7 citations
   #cs.NE #cs.LG #math.NA #stat.ML
2. Implicit Regularization in Deep Matrix Factorization
   2019/05/31 by Sanjeev Arora, Nadav Cohen, Arora, Sanjeev +5 · 30 citations
   Computer Science · Engineering · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Numerical methods in inverse problems #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
3. Deep Learning and Quantum Entanglement: Fundamental Connections with\n Implications to Network Design
   2017/04/05 by Yoav Levine, David Yakira, Levine, Yoav +5 · 4 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph) #Quantum and electron transport phenomena #Quantum many-body systems
4. DeciMamba: Exploring the Length Extrapolation Potential of Mamba
   2024/06/20 by Assaf Ben-Kish, Itamar Zimerman, Ben-Kish, Assaf +11 · 9 citations
   Social Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Urban and Rural Development Challenges
5. Implicit Regularization in Tensor Factorization
   2021/02/19 by Noam Razin, Asaf Maman, Razin, Noam +3 · 4 citations
   Engineering · Mathematics · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Quantum many-body systems #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications
6. Continuous vs. Discrete Optimization of Deep Neural Networks
   2021/07/14 by Omer Elkabetz, Nadav Cohen, Elkabetz, Omer +1 · 3 citations
   Computer Science · Mathematics · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Markov Chains and Monte Carlo Methods #Model Reduction and Neural Networks #Neural and Evolutionary Computing (cs.NE) #Stochastic Gradient Optimization Techniques
7. SimNets: A Generalization of Convolutional Networks
   2014/10/03 by Nadav Cohen, Cohen, Nadav, Amnon Shashua +1 · 2 citations
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
8. On the Implicit Bias of Gradient Descent for Temporal Extrapolation
   2022/02/09 by Edo Cohen-Karlik, Avichai Ben David, Cohen-Karlik, Edo +5 · 1 citation
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
9. Provable Benefits of Complex Parameterizations for Structured State Space Models
   2024/10/17 by Yuval Ran-Milo, Ran-Milo, Yuval, Eden Lumbroso +9 · 2 citations
   Decision Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Simulation Techniques and Applications
10. What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement
    2023/03/20 by Yotam Alexander, Alexander, Yotam, Nimrod De La Vega +5 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neural Networks and Reservoir Computing #Quantum Physics (quant-ph)
11. Lecture Notes on Linear Neural Networks: A Tale of Optimization and Generalization in Deep Learning
    2024/08/25 by Nadav Cohen, Noam Razin, Cohen, Nadav +1 · 1 voice · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
12. Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States
    2024/02/12 by Noam Razin, Razin, Noam, Yotam Alexander +9 · 1 citation
    Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #Economic Policies and Impacts #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Systems and Control (eess.SY) #electronic engineering #information engineering
13. Mild Thrombocytopenia and the Risk of Post‐Partum Hemorrhage
    2026/07/26 by Chen Nahshon, Ilana Grach, Eiman Shalabna +4