Nadav Cohen
21 papers · 2016–2025 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 6 separate collaboration groups - the largest holds only 48% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Nadav Cohen?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Noam Razin, Amir Globerson, Edo Cohen-Karlik
10 papers
· 2020–2025
· NeurIPS, ICML, ICLR
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DeciMamba: Exploring the Length Extrapolation Potential of Mamba
ICLR 2025
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States
ICML 2024
Provable Benefits of Complex Parameterizations for Structured State Space Models
NeurIPS 2024
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets
ICLR 2023
On the Ability of Graph Neural Networks to Model Interactions Between Vertices
NeurIPS 2023
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement.
NeurIPS 2023
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks
ICML 2022
On the Implicit Bias of Gradient Descent for Temporal Extrapolation
AISTATS 2022
Implicit Regularization in Tensor Factorization
ICML 2021
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
NeurIPS 2020