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Tensorizing Neural Networks

Tensorizing Neural Networks

22 September 2015
Alexander Novikov
D. Podoprikhin
A. Osokin
Dmitry Vetrov
ArXivPDFHTML

Papers citing "Tensorizing Neural Networks"

50 / 134 papers shown
Title
Explaining Anomalies with Tensor Networks
Explaining Anomalies with Tensor Networks
Hans Hohenfeld
Marius Beuerle
Elie Mounzer
34
0
0
06 May 2025
NdLinear Is All You Need for Representation Learning
NdLinear Is All You Need for Representation Learning
Alex Reneau
Jerry Yao-Chieh Hu
Zhongfang Zhuang
Ting-Chun Liu
HAI
44
0
0
21 Mar 2025
Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks
Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks
Yequan Zhao
Xinling Yu
Xian Xiao
Zhengzhang Chen
Zhengwu Liu
G. Kurczveil
R. Beausoleil
Shixuan Liu
Z. Zhang
56
0
0
17 Feb 2025
CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation
CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation
Zhengwu Liu
Ruijie Zhang
Zihan Wang
Zi Yang
Paul Hovland
Bogdan Nicolae
Franck Cappello
Z. Zhang
49
0
0
16 Feb 2025
Causal Deep Learning
Causal Deep Learning
M. Alex O. Vasilescu
CML
65
2
1
03 Jan 2025
Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases
Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases
Madison Cooley
Varun Shankar
Robert M. Kirby
Shandian Zhe
32
2
0
04 Oct 2024
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
Gaurav Patel
Christopher Sandino
Behrooz Mahasseni
Ellen L. Zippi
Erdrin Azemi
Ali Moin
Juri Minxha
TTA
AI4TS
50
3
0
03 Oct 2024
Tensor tree learns hidden relational structures in data to construct generative models
Tensor tree learns hidden relational structures in data to construct generative models
Kenji Harada
Tsuyoshi Okubo
Naoki Kawashima
39
3
0
20 Aug 2024
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for
  KV Cache Compression
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression
Peiyu Liu
Zeming Gao
Wayne Xin Zhao
Yipeng Ma
Tao Wang
Ji-Rong Wen
MQ
37
5
0
21 May 2024
Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum
  AI-Driven Framework for Healthcare
Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum AI-Driven Framework for Healthcare
A. Bhatia
David E. Bernal Neira
FedML
45
7
0
13 May 2024
TQCompressor: improving tensor decomposition methods in neural networks
  via permutations
TQCompressor: improving tensor decomposition methods in neural networks via permutations
V. Abronin
A. Naumov
D. Mazur
D. Bystrov
K. Tsarova
Ar. Melnikov
Ivan Oseledets
S. Dolgov
R. Brasher
M. Perelshtein
28
6
0
29 Jan 2024
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration
Mike Heddes
Narayan Srinivasa
T. Givargis
Alexandru Nicolau
91
0
0
12 Jan 2024
Robust Adversarial Defense by Tensor Factorization
Robust Adversarial Defense by Tensor Factorization
Manish Bhattarai
M. C. Kaymak
Ryan Barron
Ben Nebgen
Kim Ø. Rasmussen
Boian Alexandrov
AAML
27
2
0
03 Sep 2023
Quantization Aware Factorization for Deep Neural Network Compression
Quantization Aware Factorization for Deep Neural Network Compression
Daria Cherniuk
Stanislav Abukhovich
Anh-Huy Phan
Ivan Oseledets
A. Cichocki
Julia Gusak
MQ
28
2
0
08 Aug 2023
Efficient GPT Model Pre-training using Tensor Train Matrix
  Representation
Efficient GPT Model Pre-training using Tensor Train Matrix Representation
V. Chekalina
Georgii Sergeevich Novikov
Julia Gusak
Ivan Oseledets
Alexander Panchenko
17
8
0
05 Jun 2023
Compressing neural network by tensor network with exponentially fewer
  variational parameters
Compressing neural network by tensor network with exponentially fewer variational parameters
Yong Qing
Ke Li
P. Zhou
Shi-Ju Ran
22
6
0
10 May 2023
TT-SDF2PC: Registration of Point Cloud and Compressed SDF Directly in
  the Memory-Efficient Tensor Train Domain
TT-SDF2PC: Registration of Point Cloud and Compressed SDF Directly in the Memory-Efficient Tensor Train Domain
A. Boyko
A. Kornilova
Rahim Tariverdizadeh
Mirfarid Musavian
L. Markeeva
Ivan Oseledets
Gonzalo Ferrer
34
0
0
11 Apr 2023
On Model Compression for Neural Networks: Framework, Algorithm, and
  Convergence Guarantee
On Model Compression for Neural Networks: Framework, Algorithm, and Convergence Guarantee
Chenyang Li
Jihoon Chung
Mengnan Du
Haimin Wang
Xianlian Zhou
Bohao Shen
33
1
0
13 Mar 2023
PIFON-EPT: MR-Based Electrical Property Tomography Using
  Physics-Informed Fourier Networks
PIFON-EPT: MR-Based Electrical Property Tomography Using Physics-Informed Fourier Networks
Xinling Yu
José E. C. Serrallés
Ilias I. Giannakopoulos
Zhengwu Liu
Luca Daniel
R. Lattanzi
Zheng-Wei Zhang
27
10
0
23 Feb 2023
Density peak clustering using tensor network
Density peak clustering using tensor network
Xiaoxi Shi
Y. Shang
18
1
0
01 Feb 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Maolin Wang
Yu Pan
Zenglin Xu
Xiangli Yang
Guangxi Li
A. Cichocki
Andrzej Cichocki
58
19
0
22 Jan 2023
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural
  Networks
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks
Jinqi Xiao
Chengming Zhang
Yu Gong
Miao Yin
Yang Sui
Lizhi Xiang
Dingwen Tao
Bo Yuan
29
19
0
20 Jan 2023
HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer
  Compression
HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression
Jiaqi Gu
Ben Keller
Jean Kossaifi
Anima Anandkumar
Brucek Khailany
David Z. Pan
ViT
35
8
0
30 Nov 2022
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker
  Decomposition
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition
Lizhi Xiang
Miao Yin
Chengming Zhang
Aravind Sukumaran-Rajam
P. Sadayappan
Bo Yuan
Dingwen Tao
3DV
27
8
0
07 Nov 2022
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models
Yuchen Wu
Kangjie Zhou
29
6
0
07 Nov 2022
Deep tensor networks with matrix product operators
Deep tensor networks with matrix product operators
Bojan Žunkovič
72
4
0
16 Sep 2022
Neural Networks Reduction via Lumping
Neural Networks Reduction via Lumping
Dalila Ressi
Riccardo Romanello
S. Rossi
Carla Piazza
38
4
0
15 Sep 2022
CoShNet: A Hybrid Complex Valued Neural Network using Shearlets
CoShNet: A Hybrid Complex Valued Neural Network using Shearlets
Manny Ko
Ujjawal K. Panchal
Héctor Andrade-Loarca
Andres Mendez-Vazquez
30
1
0
14 Aug 2022
Quantum-Inspired Tensor Neural Networks for Partial Differential
  Equations
Quantum-Inspired Tensor Neural Networks for Partial Differential Equations
Raj G. Patel
Chia-Wei Hsing
Serkan Şahi̇n
S. Jahromi
Samuel Palmer
...
Stephane Aubert
Pierre Castellani
Chi-Guhn Lee
Samuel Mugel
Roman Orus
29
14
0
03 Aug 2022
Error Analysis of Tensor-Train Cross Approximation
Error Analysis of Tensor-Train Cross Approximation
Zhen Qin
Alexander Lidiak
Zhexuan Gong
Gongguo Tang
M. Wakin
Zhihui Zhu
33
9
0
09 Jul 2022
TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing
TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing
Zhengwu Liu
Xinling Yu
Zheng-Wei Zhang
PINN
16
7
0
04 Jul 2022
Theoretical Error Performance Analysis for Variational Quantum Circuit
  Based Functional Regression
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression
Jun Qi
Chao-Han Huck Yang
Pin-Yu Chen
Min-hsiu Hsieh
36
50
0
08 Jun 2022
Canonical convolutional neural networks
Canonical convolutional neural networks
Lokesh Veeramacheneni
Moritz Wolter
Reinhard Klein
Jochen Garcke
26
3
0
03 Jun 2022
A Unified Weight Initialization Paradigm for Tensorial Convolutional
  Neural Networks
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks
Yu Pan
Zeyong Su
Ao Liu
Jingquan Wang
Nannan Li
Zenglin Xu
40
11
0
28 May 2022
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on
  Riemannian Gradient Descent With Illustrations of Speech Processing
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing
Jun Qi
Chao-Han Huck Yang
Pin-Yu Chen
Javier Tejedor
25
16
0
11 Mar 2022
Improvements to Gradient Descent Methods for Quantum Tensor Network
  Machine Learning
Improvements to Gradient Descent Methods for Quantum Tensor Network Machine Learning
F. Barratt
J. Dborin
L. Wright
21
11
0
03 Mar 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and
  defences, experimental study and challenges
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges
Nuria Rodríguez-Barroso
Daniel Jiménez López
M. V. Luzón
Francisco Herrera
Eugenio Martínez-Cámara
FedML
37
212
0
20 Jan 2022
Exploiting Hybrid Models of Tensor-Train Networks for Spoken Command
  Recognition
Exploiting Hybrid Models of Tensor-Train Networks for Spoken Command Recognition
Jun Qi
Javier Tejedor
30
4
0
11 Jan 2022
Learning Robust and Lightweight Model through Separable Structured
  Transformations
Learning Robust and Lightweight Model through Separable Structured Transformations
Xian Wei
Yanhui Huang
Yang Xu
Mingsong Chen
Hai Lan
Yuanxiang Li
Zhongfeng Wang
Xuan Tang
OOD
24
0
0
27 Dec 2021
Low-rank Tensor Decomposition for Compression of Convolutional Neural
  Networks Using Funnel Regularization
Low-rank Tensor Decomposition for Compression of Convolutional Neural Networks Using Funnel Regularization
Bo-Shiuan Chu
Che-Rung Lee
26
11
0
07 Dec 2021
Signature-Graph Networks
Signature-Graph Networks
Ali Hamdi
Flora D. Salim
D. Kim
Xiaojun Chang
21
1
0
22 Oct 2021
More Efficient Sampling for Tensor Decomposition With Worst-Case
  Guarantees
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees
Osman Asif Malik
36
14
0
14 Oct 2021
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks
Jun Qi
Chao-Han Huck Yang
Pin-Yu Chen
29
45
0
06 Oct 2021
Semi-tensor Product-based TensorDecomposition for Neural Network
  Compression
Semi-tensor Product-based TensorDecomposition for Neural Network Compression
Hengling Zhao
Yipeng Liu
Xiaolin Huang
Ce Zhu
47
6
0
30 Sep 2021
Comfetch: Federated Learning of Large Networks on Constrained Clients
  via Sketching
Comfetch: Federated Learning of Large Networks on Constrained Clients via Sketching
Tahseen Rabbani
Brandon Yushan Feng
Marco Bornstein
Kyle Rui Sang
Yifan Yang
Arjun Rajkumar
A. Varshney
Furong Huang
FedML
59
2
0
17 Sep 2021
Tensor Yard: One-Shot Algorithm of Hardware-Friendly Tensor-Train
  Decomposition for Convolutional Neural Networks
Tensor Yard: One-Shot Algorithm of Hardware-Friendly Tensor-Train Decomposition for Convolutional Neural Networks
Anuar Taskynov
Vladimir Korviakov
I. Mazurenko
Yepan Xiong
32
2
0
09 Aug 2021
Double Similarity Distillation for Semantic Image Segmentation
Double Similarity Distillation for Semantic Image Segmentation
Yingchao Feng
Xian Sun
Wenhui Diao
Jihao Li
Xin Gao
24
62
0
19 Jul 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
32
119
0
07 Jul 2021
Layer Folding: Neural Network Depth Reduction using Activation
  Linearization
Layer Folding: Neural Network Depth Reduction using Activation Linearization
Amir Ben Dror
Niv Zehngut
Avraham Raviv
E. Artyomov
Ran Vitek
R. Jevnisek
29
20
0
17 Jun 2021
Quantum-inspired event reconstruction with Tensor Networks: Matrix
  Product States
Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States
Jack Y. Araz
M. Spannowsky
42
16
0
15 Jun 2021
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