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Dive into the research topics where Nadav Cohen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States
Razin, N., Alexander, Y., Cohen-Karlik, E., Giryes, R., Globerson, A. & Cohen, N., 2024, In: Proceedings of Machine Learning Research. 235, p. 42275-42331 57 p.Research output: Contribution to journal › Conference article › peer-review
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Provable Benefits of Complex Parameterizations for Structured State Space Models
Ran-Milo, Y., Lumbroso, E., Cohen-Karlik, E., Giryes, R., Globerson, A. & Cohen, N., 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
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Deep Linear Networks for Matrix Completion-an Infinite Depth Limit
Cohen, N., Menon, G. & Veraszto, Z., 2023, In: SIAM Journal on Applied Dynamical Systems. 22, 4, p. 3208-3232 25 p.Research output: Contribution to journal › Article › peer-review
Open Access -
LEARNING LOW DIMENSIONAL STATE SPACES WITH OVERPARAMETERIZED RECURRENT NEURAL NETS
Cohen-Karlik, E., Menuhin-Gruman, I., Giryes, R., Cohen, N. & Globerson, A., 2023.Research output: Contribution to conference › Paper › peer-review
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On the Ability of Graph Neural Networks to Model Interactions Between Vertices
Razin, N., Verbin, T. & Cohen, N., 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review