Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1509.06569
Cited By
Tensorizing Neural Networks
22 September 2015
Alexander Novikov
D. Podoprikhin
A. Osokin
Dmitry Vetrov
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Tensorizing Neural Networks"
50 / 134 papers shown
Title
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
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
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
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
M. Alex O. Vasilescu
CML
65
2
1
03 Jan 2025
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
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
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
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
A. Bhatia
David E. Bernal Neira
FedML
45
7
0
13 May 2024
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
Mike Heddes
Narayan Srinivasa
T. Givargis
Alexandru Nicolau
91
0
0
12 Jan 2024
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
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
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
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
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
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
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
Xiaoxi Shi
Y. Shang
18
1
0
01 Feb 2023
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
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
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
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
Yuchen Wu
Kangjie Zhou
29
6
0
07 Nov 2022
Deep tensor networks with matrix product operators
Bojan Žunkovič
72
4
0
16 Sep 2022
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
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
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
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
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
Jun Qi
Chao-Han Huck Yang
Pin-Yu Chen
Min-hsiu Hsieh
36
50
0
08 Jun 2022
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
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
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
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
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
Jun Qi
Javier Tejedor
30
4
0
11 Jan 2022
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
Bo-Shiuan Chu
Che-Rung Lee
26
11
0
07 Dec 2021
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
Osman Asif Malik
36
14
0
14 Oct 2021
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
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
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
Anuar Taskynov
Vladimir Korviakov
I. Mazurenko
Yepan Xiong
32
2
0
09 Aug 2021
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
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
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
Jack Y. Araz
M. Spannowsky
42
16
0
15 Jun 2021
1
2
3
Next