Tensor Methods in Computer Vision and Deep Learning

7 July 2021

Yannis Panagakis

Papers citing "Tensor Methods in Computer Vision and Deep Learning"

42 / 42 papers shown

Title
Multi-Scale Tensorial Summation and Dimensional Reduction Guided Neural Network for Edge Detection Lei Xu Mehmet Yamaç Mete Ahishali M. Gabbouj 27 0 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 M. Gabbouj 24 1 0 17 Apr 2025
Hadamard product in deep learning: Introduction, Advances and Challenges Grigorios G. Chrysos Yongtao Wu Razvan Pascanu Philip Torr V. Cevher AAML 96 0 0 17 Apr 2025
Generative AI in Collaborative Academic Report Writing: Advantages, Disadvantages, and Ethical Considerations Mahshid Sadeghpour Arathi Arakala Asha Rao 23 0 0 10 Apr 2025
Changing Base Without Losing Pace: A GPU-Efficient Alternative to MatMul in DNNs Nir Ailon Akhiad Bercovich Omri Weinstein 52 0 0 15 Mar 2025
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 43 8 0 12 Sep 2024
MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition Aggelina Chatziagapi Grigorios G. Chrysos Dimitris Samaras 3DGS 19 1 0 10 Jul 2024
Non-negative Tensor Mixture Learning for Discrete Density Estimation Kazu Ghalamkari Jesper L. Hinrich Morten Mørup 57 1 0 28 May 2024
An Introduction to Complex Random Tensors Divya Pandey Alexis Decurninge Harry Leib 28 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 24 2 0 27 Feb 2024
Improving LSH via Tensorized Random Projection Bhisham Dev Verma Rameshwar Pratap 23 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 20 2 0 29 Dec 2023
Low-Multi-Rank High-Order Bayesian Robust Tensor Factorization Jianan Liu Chunguang Li 8 0 0 10 Nov 2023
Generative Learning of Continuous Data by Tensor Networks Alex Meiburg Jing Chen Jacob Miller Raphaëlle Tihon Guillaume Rabusseau A. Perdomo-Ortiz 17 5 0 31 Oct 2023
Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks Debanjan Konar Dheeraj Peddireddy Vaneet Aggarwal B. K. Panigrahi 13 0 0 02 Oct 2023
Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs Jean Kossaifi Nikola B. Kovachki Kamyar Azizzadenesheli Anima Anandkumar AI4CE 42 32 0 29 Sep 2023
Quantization Aware Factorization for Deep Neural Network Compression Daria Cherniuk Stanislav Abukhovich Anh-Huy Phan Ivan V. Oseledets A. Cichocki Julia Gusak MQ 8 2 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 23 11 0 27 Jul 2023
Guaranteed Tensor Recovery Fused Low-rankness and Smoothness Hailin Wang Jiangjun Peng Wenjin Qin Jianjun Wang Deyu Meng 22 63 0 04 Feb 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Y. Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 43 19 0 22 Jan 2023
HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression Jiaqi Gu Ben Keller Jean Kossaifi Anima Anandkumar Brucek Khailany D. Pan ViT 22 8 0 30 Nov 2022
Positive unlabeled learning with tensor networks Bojan Žunkovič SSL 30 4 0 25 Nov 2022
TT-NF: Tensor Train Neural Fields Anton Obukhov Mikhail (Misha) Usvyatsov Christos Sakaridis Konrad Schindler Luc Van Gool 43 7 0 30 Sep 2022
Many-body Approximation for Non-negative Tensors Kazu Ghalamkari M. Sugiyama Yoshinobu Kawahara 31 2 0 30 Sep 2022
Approximate Real Symmetric Tensor Rank A. Ergür Jesus Rebollo Bueno P. Valettas 20 0 0 25 Jul 2022
A Comprehensive Review of Visual-Textual Sentiment Analysis from Social Media Networks Israa Khalaf Salman Al-Tameemi M. Feizi-Derakhshi Saeed Pashazadeh M. Asadpour 17 16 0 05 Jul 2022
tntorch: Tensor Network Learning with PyTorch Mikhail (Misha) Usvyatsov R. Ballester-Ripoll Konrad Schindler AI4CE 11 20 0 22 Jun 2022
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling Lei Cheng Feng Yin Sergios Theodoridis S. Chatzis Tsung-Hui Chang 60 73 0 28 May 2022
Position: Tensor Networks are a Valuable Asset for Green AI Eva Memmel Clara Menzen Jetze T. Schuurmans Frederiek Wesel Kim Batselier 20 5 0 25 May 2022
cu_FastTucker: A Faster and Stabler Stochastic Optimization for Parallel Sparse Tucker Decomposition on Multi-GPUs Zixuan Li 83 2 0 14 Apr 2022
TensoRF: Tensorial Radiance Fields Anpei Chen Zexiang Xu Andreas Geiger Jingyi Yu Hao Su 15 1,244 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 17 3 0 05 Mar 2022
Approximation of Images via Generalized Higher Order Singular Value Decomposition over Finite-dimensional Commutative Semisimple Algebra L. Liao Sen Lin Lun Li Xiuwei Zhang Song Zhao Yan Wang Xinqiang Wang Qi Gao Jingyu Wang 6 3 0 01 Feb 2022
Tensor Component Analysis for Interpreting the Latent Space of GANs James Oldfield Markos Georgopoulos Yannis Panagakis M. Nicolaou Ioannis Patras GAN 19 15 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 11 9 0 27 Oct 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning Anuj Mahajan Mikayel Samvelyan Lei Mao Viktor Makoviychuk Animesh Garg Jean Kossaifi Shimon Whiteson Yuke Zhu Anima Anandkumar 6 32 0 31 May 2021
Learning Good State and Action Representations via Tensor Decomposition Chengzhuo Ni Yaqi Duan M. Dahleh Anru R. Zhang Mengdi Wang 13 7 0 03 May 2021
Reduced-Rank Tensor-on-Tensor Regression and Tensor-variate Analysis of Variance Carlos Llosa-Vite R. Maitra CML 12 19 0 18 Dec 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,320 0 12 Dec 2018
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression Nilaksh Das Madhuri Shanbhogue Shang-Tse Chen Fred Hohman Siwei Li Li-Wei Chen Michael E. Kounavis Duen Horng Chau FedML AAML 38 223 0 19 Feb 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,471 0 17 Apr 2017
Tensor Decomposition for Signal Processing and Machine Learning N. Sidiropoulos L. De Lathauwer Xiao Fu Kejun Huang Evangelos E. Papalexakis Christos Faloutsos 90 1,342 0 06 Jul 2016