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Deep Learning and Quantum Entanglement: Fundamental Connections with
  Implications to Network Design

Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design

5 April 2017
Yoav Levine
David Yakira
Nadav Cohen
Amnon Shashua
ArXivPDFHTML

Papers citing "Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design"

33 / 33 papers shown
Title
Quantum State Assignment Flows
Quantum State Assignment Flows
J. Schwarz
Daniel Gonzalez-Alvarado
Bastian Boll
M. Gärttner
Peter Albers
Christoph Schnörr
6
1
0
30 Jun 2023
On the Ability of Graph Neural Networks to Model Interactions Between
  Vertices
On the Ability of Graph Neural Networks to Model Interactions Between Vertices
Noam Razin
Tom Verbin
Nadav Cohen
23
10
0
29 Nov 2022
Grokking phase transitions in learning local rules with gradient descent
Grokking phase transitions in learning local rules with gradient descent
Bojan Žunkovič
E. Ilievski
63
17
0
26 Oct 2022
Deep tensor networks with matrix product operators
Deep tensor networks with matrix product operators
Bojan Žunkovič
72
4
0
16 Sep 2022
High-Order Pooling for Graph Neural Networks with Tensor Decomposition
High-Order Pooling for Graph Neural Networks with Tensor Decomposition
Chenqing Hua
Guillaume Rabusseau
Jian Tang
78
25
0
24 May 2022
Implicit Regularization in Hierarchical Tensor Factorization and Deep
  Convolutional Neural Networks
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks
Noam Razin
Asaf Maman
Nadav Cohen
49
29
0
27 Jan 2022
Tensor network to learn the wavefunction of data
Tensor network to learn the wavefunction of data
A. Dymarsky
K. Pavlenko
24
6
0
15 Nov 2021
The Inductive Bias of In-Context Learning: Rethinking Pretraining
  Example Design
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design
Yoav Levine
Noam Wies
Daniel Jannai
D. Navon
Yedid Hoshen
Amnon Shashua
AI4CE
35
36
0
09 Oct 2021
Tensor Methods in Computer Vision and Deep Learning
Tensor Methods in Computer Vision and Deep Learning
Yannis Panagakis
Jean Kossaifi
Grigorios G. Chrysos
James Oldfield
M. Nicolaou
Anima Anandkumar
S. Zafeiriou
34
119
0
07 Jul 2021
Which transformer architecture fits my data? A vocabulary bottleneck in
  self-attention
Which transformer architecture fits my data? A vocabulary bottleneck in self-attention
Noam Wies
Yoav Levine
Daniel Jannai
Amnon Shashua
40
20
0
09 May 2021
Tensor networks and efficient descriptions of classical data
Tensor networks and efficient descriptions of classical data
Sirui Lu
Márton Kanász-Nagy
I. Kukuljan
J. I. Cirac
24
24
0
11 Mar 2021
Entangled q-Convolutional Neural Nets
Entangled q-Convolutional Neural Nets
V. Anagiannis
Miranda C. N. Cheng
21
5
0
06 Mar 2021
Hybrid quantum-classical classifier based on tensor network and
  variational quantum circuit
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit
Samuel Yen-Chi Chen
Chih-Min Huang
Chia-Wei Hsing
Y. Kao
38
49
0
30 Nov 2020
Quantum Deformed Neural Networks
Quantum Deformed Neural Networks
Roberto Bondesan
Max Welling
AI4CE
15
4
0
21 Oct 2020
The Depth-to-Width Interplay in Self-Attention
The Depth-to-Width Interplay in Self-Attention
Yoav Levine
Noam Wies
Or Sharir
Hofit Bata
Amnon Shashua
30
45
0
22 Jun 2020
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
Noam Razin
Nadav Cohen
24
155
0
13 May 2020
Expressive power of tensor-network factorizations for probabilistic
  modeling, with applications from hidden Markov models to quantum machine
  learning
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning
I. Glasser
R. Sweke
Nicola Pancotti
Jens Eisert
J. I. Cirac
30
123
0
08 Jul 2019
TensorNetwork for Machine Learning
TensorNetwork for Machine Learning
Stavros Efthymiou
Jack Hidary
Stefan Leichenauer
22
68
0
07 Jun 2019
TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor
  Networks
TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks
A. Milsted
M. Ganahl
Stefan Leichenauer
Jack Hidary
G. Vidal
62
15
0
03 May 2019
The Born Supremacy: Quantum Advantage and Training of an Ising Born
  Machine
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine
Brian Coyle
Daniel Mills
V. Danos
E. Kashefi
27
155
0
03 Apr 2019
Tree Tensor Networks for Generative Modeling
Tree Tensor Networks for Generative Modeling
Song Cheng
Lei Wang
Tao Xiang
Pan Zhang
18
129
0
08 Jan 2019
Implicit Self-Regularization in Deep Neural Networks: Evidence from
  Random Matrix Theory and Implications for Learning
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning
Charles H. Martin
Michael W. Mahoney
AI4CE
47
192
0
02 Oct 2018
From probabilistic graphical models to generalized tensor networks for
  supervised learning
From probabilistic graphical models to generalized tensor networks for supervised learning
I. Glasser
Nicola Pancotti
J. I. Cirac
AI4CE
69
75
0
15 Jun 2018
Opening the black box of deep learning
Opening the black box of deep learning
Dian Lei
Xiaoxiao Chen
Jianfei Zhao
AI4CE
PINN
15
26
0
22 May 2018
Towards Quantum Machine Learning with Tensor Networks
Towards Quantum Machine Learning with Tensor Networks
W. Huggins
P. Patil
K. B. Whaley
E. Stoudenmire
25
342
0
30 Mar 2018
Entanglement-guided architectures of machine learning by quantum tensor
  network
Entanglement-guided architectures of machine learning by quantum tensor network
Yuhan Liu
Xiao Zhang
M. Lewenstein
Shi-Ju Ran
26
32
0
24 Mar 2018
Learning Relevant Features of Data with Multi-scale Tensor Networks
Learning Relevant Features of Data with Multi-scale Tensor Networks
Tayssir Doghri
25
137
0
31 Dec 2017
Information Perspective to Probabilistic Modeling: Boltzmann Machines
  versus Born Machines
Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines
Song Cheng
J. Chen
Lei Wang
29
101
0
12 Dec 2017
Tensor network language model
Tensor network language model
V. Pestun
Yiannis Vlassopoulos
31
36
0
27 Oct 2017
Machine learning \& artificial intelligence in the quantum domain
Machine learning \& artificial intelligence in the quantum domain
Vedran Dunjko
H. Briegel
24
344
0
08 Sep 2017
Unsupervised Generative Modeling Using Matrix Product States
Unsupervised Generative Modeling Using Matrix Product States
Zhaoyu Han
Jun Wang
H. Fan
Lei Wang
Pan Zhang
24
268
0
06 Sep 2017
Analysis and Design of Convolutional Networks via Hierarchical Tensor
  Decompositions
Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions
Nadav Cohen
Or Sharir
Yoav Levine
Ronen Tamari
David Yakira
Amnon Shashua
20
38
0
05 May 2017
Equivalence of restricted Boltzmann machines and tensor network states
Equivalence of restricted Boltzmann machines and tensor network states
Martín Arjovsky
Song Cheng
Haidong Xie
Léon Bottou
Tao Xiang
29
225
0
17 Jan 2017
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