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2107.03436
Cited By
Tensor Methods in Computer Vision and Deep Learning
Proceedings of the IEEE (Proc. IEEE), 2021
7 July 2021
Yannis Panagakis
Jean Kossaifi
Grigorios G. Chrysos
James Oldfield
M. Nicolaou
Anima Anandkumar
Stefanos Zafeiriou
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Papers citing
"Tensor Methods in Computer Vision and Deep Learning"
42 / 42 papers shown
Data Understanding Survey: Pursuing Improved Dataset Characterization Via Tensor-based Methods
Matthew D. Merris
Tim Andersen
78
0
0
15 Oct 2025
Localized PCA-Net Neural Operators for Scalable Solution Reconstruction of Elliptic PDEs
Mrigank Dhingra
Romit Maulik
Adil Rasheed
Omer San
232
0
0
09 Sep 2025
ReLATE: Learning Efficient Sparse Encoding for High-Performance Tensor Decomposition
Ahmed E. Helal
Fabio Checconi
Jan Laukemann
Yongseok Soh
Jesmin Jahan Tithi
Fabrizio Petrini
Jee W. Choi
144
0
0
29 Aug 2025
Low-Rank Tensor Decompositions for the Theory of Neural Networks
Ricardo Augusto Borsoi
K. Usevich
Marianne Clausel
139
2
0
25 Aug 2025
Accelerating Large-Scale Regularized High-Order Tensor Recovery
Wenjin Qin
Hailin Wang
Jingyao Hou
Jianjun Wang
325
1
0
11 Jun 2025
Multi-Scale Tensorial Summation and Dimensional Reduction Guided Neural Network for Edge Detection
Lei Xu
Mehmet Yamaç
Mete Ahishali
Moncef Gabbouj
320
1
0
22 Apr 2025
Multiscale Tensor Summation Factorization as a New Neural Network Layer (MTS Layer) for Multidimensional Data Processing
Mehmet Yamaç
Muhammad Numan Yousaf
S. Kiranyaz
Moncef Gabbouj
260
2
0
17 Apr 2025
Hadamard product in deep learning: Introduction, Advances and Challenges
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Grigorios G. Chrysos
Yongtao Wu
Razvan Pascanu
Philip Torr
Volkan Cevher
AAML
385
19
0
17 Apr 2025
Generative AI in Collaborative Academic Report Writing: Advantages, Disadvantages, and Ethical Considerations
Mahshid Sadeghpour
Arathi Arakala
Asha Rao
242
1
0
10 Apr 2025
Changing Base Without Losing Pace: A GPU-Efficient Alternative to MatMul in DNNs
Nir Ailon
Akhiad Bercovich
Yahel Uffenheimer
Omri Weinstein
497
4
0
15 Mar 2025
Bilinear MLPs enable weight-based mechanistic interpretability
International Conference on Learning Representations (ICLR), 2024
Michael T. Pearce
Thomas Dooms
Alice Rigg
José Oramas
Lee Sharkey
282
20
0
10 Oct 2024
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
Lorenzo Loconte
Antonio Mari
G. Gala
Robert Peharz
Cassio de Campos
Erik Quaeghebeur
G. Vessio
Antonio Vergari
600
24
0
12 Sep 2024
MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition
Aggelina Chatziagapi
Grigorios G. Chrysos
Dimitris Samaras
3DGS
286
3
0
10 Jul 2024
An Introduction to Complex Random Tensors
Divya Pandey
Alexis Decurninge
Harry Leib
274
1
0
23 Apr 2024
FedBRB: An Effective Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning
Ziyue Xu
Ming Xu
Tianchi Liao
Zibin Zheng
Chuan Chen
FedML
197
3
0
27 Feb 2024
Improving LSH via Tensorized Random Projection
Acta Informatica (AI), 2024
Bhisham Dev Verma
Rameshwar Pratap
251
0
0
11 Feb 2024
Boosting Defect Detection in Manufacturing using Tensor Convolutional Neural Networks
Pablo Martin-Ramiro
Unai Sainz de la Maza
Sukhbinder Singh
Roman Orus
Samuel Mugel
UQCV
263
4
0
29 Dec 2023
Low-Multi-Rank High-Order Bayesian Robust Tensor Factorization
Jianan Liu
Chunguang Li
169
0
0
10 Nov 2023
Generative Learning of Continuous Data by Tensor Networks
SciPost Physics (SciPost Phys.), 2023
Alex Meiburg
Jing Chen
Jacob Miller
Raphaëlle Tihon
Guillaume Rabusseau
A. Perdomo-Ortiz
247
8
0
31 Oct 2023
Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks
Debanjan Konar
Dheeraj Peddireddy
Vaneet Aggarwal
B. K. Panigrahi
289
1
0
02 Oct 2023
Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs
Jean Kossaifi
Nikola B. Kovachki
Kamyar Azizzadenesheli
Anima Anandkumar
AI4CE
334
66
0
29 Sep 2023
Quantization Aware Factorization for Deep Neural Network Compression
Journal of Artificial Intelligence Research (JAIR), 2023
Daria Cherniuk
Stanislav Abukhovich
Anh-Huy Phan
Ivan Oseledets
A. Cichocki
Julia Gusak
MQ
293
7
0
08 Aug 2023
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
Renbo Tu
Colin White
Jean Kossaifi
Boris Bonev
Nikola B. Kovachki
Gennady Pekhimenko
Kamyar Azizzadenesheli
Anima Anandkumar
388
10
0
27 Jul 2023
Guaranteed Tensor Recovery Fused Low-rankness and Smoothness
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Hailin Wang
Jiangjun Peng
Wenjin Qin
Jianjun Wang
Deyu Meng
321
141
0
04 Feb 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Xinjian Zhao
Yu Pan
Zenglin Xu
Xiangli Yang
Guangxi Li
A. Cichocki
Andrzej Cichocki
650
39
0
22 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
210
9
0
30 Nov 2022
Positive unlabeled learning with tensor networks
Bojan Žunkovič
SSL
304
7
0
25 Nov 2022
TT-NF: Tensor Train Neural Fields
IEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), 2022
Anton Obukhov
Mikhail (Misha) Usvyatsov
Daniel Gehrig
Konrad Schindler
Luc Van Gool
214
7
0
30 Sep 2022
Many-body Approximation for Non-negative Tensors
Neural Information Processing Systems (NeurIPS), 2022
Kazu Ghalamkari
M. Sugiyama
Yoshinobu Kawahara
334
3
0
30 Sep 2022
Approximate Real Symmetric Tensor Rank
Arnold Mathematical Journal (JAM), 2022
A. Ergür
Jesus Rebollo Bueno
P. Valettas
227
0
0
25 Jul 2022
A Comprehensive Review of Visual-Textual Sentiment Analysis from Social Media Networks
Journal of Computational Social Science (JCSS), 2022
Israa Khalaf Salman Al-Tameemi
M. Feizi-Derakhshi
Saeed Pashazadeh
M. Asadpour
309
29
0
05 Jul 2022
tntorch: Tensor Network Learning with PyTorch
Journal of machine learning research (JMLR), 2022
Mikhail (Misha) Usvyatsov
R. Ballester-Ripoll
Konrad Schindler
AI4CE
289
26
0
22 Jun 2022
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling
IEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2022
Lei Cheng
Feng Yin
Sergios Theodoridis
S. Chatzis
Tsung-Hui Chang
333
93
0
28 May 2022
Position: Tensor Networks are a Valuable Asset for Green AI
International Conference on Machine Learning (ICML), 2022
Eva Memmel
Clara Menzen
Jetze T. Schuurmans
Frederiek Wesel
Kim Batselier
339
9
0
25 May 2022
cu_FastTucker: A Faster and Stabler Stochastic Optimization for Parallel Sparse Tucker Decomposition on Multi-GPUs
Zixuan Li
269
2
0
14 Apr 2022
TensoRF: Tensorial Radiance Fields
European Conference on Computer Vision (ECCV), 2022
Anpei Chen
Zexiang Xu
Andreas Geiger
Jingyi Yu
Hao Su
742
1,495
0
17 Mar 2022
How to Train Unstable Looped Tensor Network
Anh-Huy Phan
Konstantin Sobolev
Dmitry Ermilov
Igor Vorona
Nikolay Kozyrskiy
P. Tichavský
A. Cichocki
144
3
0
05 Mar 2022
Tensor Component Analysis for Interpreting the Latent Space of GANs
James Oldfield
Markos Georgopoulos
Yannis Panagakis
M. Nicolaou
Ioannis Patras
GAN
182
18
0
23 Nov 2021
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions
Anuj Mahajan
Mikayel Samvelyan
Lei Mao
Viktor Makoviychuk
Animesh Garg
Jean Kossaifi
Shimon Whiteson
Yuke Zhu
Anima Anandkumar
158
9
0
27 Oct 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
International Conference on Machine Learning (ICML), 2021
Anuj Mahajan
Mikayel Samvelyan
Lei Mao
Viktor Makoviychuk
Animesh Garg
Jean Kossaifi
Shimon Whiteson
Yuke Zhu
Anima Anandkumar
375
38
0
31 May 2021
Learning Good State and Action Representations via Tensor Decomposition
Journal of machine learning research (JMLR), 2021
Chengzhuo Ni
Yaqi Duan
M. Dahleh
Anru R. Zhang
Mengdi Wang
299
8
0
03 May 2021
Reduced-Rank Tensor-on-Tensor Regression and Tensor-variate Analysis of Variance
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Carlos Llosa-Vite
R. Maitra
CML
506
23
0
18 Dec 2020
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