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Set-Transformer BeamsNet for AUV Velocity Forecasting in Complete DVL Outage Scenarios


Dec 22, 2022
Nadav Cohen, Zeev Yampolsky, Itzik Klein

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On the Ability of Graph Neural Networks to Model Interactions Between Vertices


Dec 09, 2022
Noam Razin, Tom Verbin, Nadav Cohen

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Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network


Oct 25, 2022
Edo Cohen-Karlik, Itamar Menuhin-Gruman, Nadav Cohen, Raja Giryes, Amir Globerson

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* preprint, 9 pages, 2 figures plus supplementary 

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Deep Linear Networks for Matrix Completion -- An Infinite Depth Limit


Oct 22, 2022
Nadav Cohen, Govind Menon, Zsolt Veraszto

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BeamsNet: A data-driven Approach Enhancing Doppler Velocity Log Measurements for Autonomous Underwater Vehicle Navigation


Jun 27, 2022
Nadav Cohen, Itzik Klein

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Semantic Segmentation in Art Paintings


Mar 07, 2022
Nadav Cohen, Yael Newman, Ariel Shamir

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* Published as a conference paper at EuroGraphics 2022 

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On the Implicit Bias of Gradient Descent for Temporal Extrapolation


Feb 09, 2022
Edo Cohen-Karlik, Avichai Ben David, Nadav Cohen, Amir Globerson

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* 8 pages, 8 figures (plus appendix), AISTATS2022 

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Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks


Jan 27, 2022
Noam Razin, Asaf Maman, Nadav Cohen

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Continuous vs. Discrete Optimization of Deep Neural Networks


Jul 14, 2021
Omer Elkabetz, Nadav Cohen

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