Or Sharir | DeepAI

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Featured Co-authors

Anima Anandkumar
180 publications
Shai Shalev-Shwartz
34 publications
Amnon Shashua
30 publications
Nadav Cohen
26 publications
Yoav Levine
17 publications
Giuseppe Carleo
14 publications
Ronen Tamari
12 publications
Yoav Shoham
11 publications
Noam Wies
7 publications
Barak Lenz
5 publications
David Yakira
4 publications

∙ 12/21/2022

Towards Neural Variational Monte Carlo That Scales Linearly with System Size

Quantum many-body problems are some of the most challenging problems in ...

17 Or Sharir, et al. ∙

∙ 03/18/2021

Neural tensor contractions and the expressive power of deep neural quantum states

We establish a direct connection between general tensor networks and dee...

24 Or Sharir, et al. ∙

∙ 06/30/2020

Technical Report: Auxiliary Tuning and its Application to Conditional Text Generation

We introduce a simple and efficient method, called Auxiliary Tuning, for...

0 Yoel Zeldes, et al. ∙

∙ 06/22/2020

Limits to Depth Efficiencies of Self-Attention

Self-attention architectures, which are rapidly pushing the frontier in ...

0 Yoav Levine, et al. ∙

∙ 04/19/2020

The Cost of Training NLP Models: A Concise Overview

We review the cost of training large-scale language models, and the driv...

9 Or Sharir, et al. ∙

∙ 08/15/2019

SenseBERT: Driving Some Sense into BERT

Self-supervision techniques have allowed neural language models to advan...

0 Yoav Levine, et al. ∙

∙ 02/11/2019

Deep autoregressive models for the efficient variational simulation of many-body quantum systems

Artificial Neural Networks were recently shown to be an efficient repres...

0 Or Sharir, et al. ∙

∙ 03/26/2018

Bridging Many-Body Quantum Physics and Deep Learning via Tensor Networks

The harnessing of modern computational abilities for many-body wave-func...

0 Yoav Levine, et al. ∙

∙ 10/25/2017

Benefits of Depth for Long-Term Memory of Recurrent Networks

The key attribute that drives the unprecedented success of modern Recurr...

0 Yoav Levine, et al. ∙

∙ 10/12/2017

Sum-Product-Quotient Networks

We present a novel tractable generative model that extends Sum-Product N...

0 Or Sharir, et al. ∙

∙ 05/05/2017

Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions

The driving force behind convolutional networks - the most successful de...

0 Nadav Cohen, et al. ∙

∙ 03/06/2017

On the Expressive Power of Overlapping Architectures of Deep Learning

Expressive efficiency refers to the relation between two architectures A...

0 Or Sharir, et al. ∙

∙ 10/13/2016

Tractable Generative Convolutional Arithmetic Circuits

Casting neural networks in generative frameworks is a highly sought-afte...

0 Or Sharir, et al. ∙

∙ 09/16/2015

On the Expressive Power of Deep Learning: A Tensor Analysis

It has long been conjectured that hypotheses spaces suitable for data th...

0 Nadav Cohen, et al. ∙

∙ 06/09/2015

Deep SimNets

We present a deep layered architecture that generalizes convolutional ne...

0 Nadav Cohen, et al. ∙