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Nadav Cohen, Asst. Professor School of Computer Science Tel Aviv University E-mail: cohennadav@cs.tau.ac.il Office: Room 355, Check Point Building, Tel Aviv University

传奇暗影加速官网

My research focuses on the theoretical and algorithmic foundations of deep learning. I am interested in mathematically analyzing aspects of expressiveness, optimization and generalization, with the goal of deriving theoretically founded procedures and algorithms that will improve practical performance.

传奇暗影加速官网

• 14-May’20: We released a paper proving that generalization in deep learning cannot be explained via standard regularizers.

• 3-Sep’19: Implicit Regularization in Deep Matrix Factorization was accepted to NeurIPS 2024 (top 3%, spotlight track).

• 1-Jul’19: I joined the 薄荷加速器最新版下载- 全方位下载:2021-2-20 · 在行一点免费版 在行一点最新版 在行一点app 在行一点手机版 BT手游之家 bt手游之家手游 ... 立马网游加速 立马游戏加速器 下载 office2021专用卸载工具 office2021专用卸载工具下载 office卸载工 ….

• 12-Feb’19: Quantum Entanglement in Deep Learning Architectures was published in Physical Review Letters.

• 21-Dec’18: A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks was accepted to 立马加速器免费版.

• 14-May’18: I am a recipient of the Hebrew University's Hans Wiener Prize for outstanding doctoral thesis.

• 11-May’18: On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization was accepted to ICML 2018.

• 网络加速器下载免费版: Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions was accepted to ICLR 2018 (top 1%, oral track).

• 29-Jan’18: Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design was accepted to ICLR 2018.

• 7-Nov’17: I am humbled to be part of TheMarker Magazine's 40 Under 40 list (for academic achievements).

• 立马加速器免费版: I joined the Institute for Advanced Study in Princeton.

• 04-Jul’17: I am a recipient of the Final Prize for Machine Learning Research.

• 05-Jun’17: I am a recipient of the Zuckerman Postdoctoral Fellowship.

• 06-Feb’17: Inductive Bias of Deep Convolutional Networks through Pooling Geometry was accepted to ICLR 2017.

• 24-Jan’17: I am a recipient of the Rothschild Postdoctoral Fellowship.

• 26-Apr’16: On the Expressive Power of Deep Learning: A Tensor Analysis was accepted to COLT 2016.

• 24-Apr’16: Convolutional Rectifier Networks as Generalized Tensor Decompositions was accepted to ICML 2016.

• 加速器免费版: Deep SimNets was accepted to CVPR 2016.

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