Tensor Regression Networks

26 July 2017

Jean Kossaifi

Zachary Chase Lipton

Arinbjorn Kolbeinsson

Papers citing "Tensor Regression Networks"

50 / 62 papers shown

Title
Causal Deep Learning M. Alex O. Vasilescu CML 51 2 1 03 Jan 2025
TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecasting Linghang Kong Elynn Chen Yuzhou Chen Yuefeng Han AI4TS 31 0 0 27 Oct 2024
Conditional Uncertainty Quantification for Tensorized Topological Neural Networks Yujia Wu Bo Yang Yang Zhao Elynn Chen Yuzhou Chen Zheshi Zheng 25 2 0 20 Oct 2024
Conditional Prediction ROC Bands for Graph Classification Yujia Wu Bo Yang Elynn Chen Yuzhou Chen Zheshi Zheng UQCV 26 2 0 20 Oct 2024
Tensor-Fused Multi-View Graph Contrastive Learning Yujia Wu Junyi Mo Elynn Chen Yuzhou Chen 21 1 0 20 Oct 2024
MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition Aggelina Chatziagapi Grigorios G. Chrysos Dimitris Samaras 3DGS 19 1 0 10 Jul 2024
Graph Edge Representation via Tensor Product Graph Convolutional Representation Bo Jiang Sheng Ge Ziyan Zhang Beibei Wang Jin Tang Bin Luo GNN 31 0 0 21 Jun 2024
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition Zhen Qin Zhihui Zhu 57 4 0 10 Jun 2024
Factor Augmented Tensor-on-Tensor Neural Networks Guanhao Zhou Yuefeng Han Xiufan Yu 32 1 0 30 May 2024
Language Modeling Using Tensor Trains Zhan Su Yuqin Zhou Fengran Mo J. Simonsen 22 2 0 07 May 2024
FLAASH: Flexible Accelerator Architecture for Sparse High-Order Tensor Contraction Gabriel Kulp Andrew Ensinger Lizhong Chen 14 2 0 25 Apr 2024
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs) Junhua Zeng Chao Li Zhun Sun Qibin Zhao Guoxu Zhou 32 4 0 04 Feb 2024
Tensor-view Topological Graph Neural Network Tao Wen Elynn Chen Yuzhou Chen 26 8 0 22 Jan 2024
conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks Tahseen Rabbani Jiahao Su Xiaoyu Liu David Chan Geoffrey Sangston Furong Huang 21 1 0 07 Jan 2024
Tensor Decomposition Based Attention Module for Spiking Neural Networks Haoyu Deng Rui-jie Zhu Xuerui Qiu Yule Duan Malu Zhang Liang-Jian Deng 27 13 0 23 Oct 2023
Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations C. Li Junhua Zeng Chunmei Li C. Caiafa Qianchuan Zhao 15 13 0 25 Apr 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 30 8 0 30 Nov 2022
Permutation Search of Tensor Network Structures via Local Sampling C. Li Junhua Zeng Zerui Tao Qianchuan Zhao 14 19 0 14 Jun 2022
cu_FastTucker: A Faster and Stabler Stochastic Optimization for Parallel Sparse Tucker Decomposition on Multi-GPUs Zixuan Li 88 2 0 14 Apr 2022
ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data M. Biehler Hao Yan Jianjun Shi 3DPC 11 4 0 25 Feb 2022
Brain Structural Saliency Over The Ages Daniel Taylor Jonathan Shock Deshendran Moodley J. Ipser M. Treder FAtt 9 1 0 12 Jan 2022
Robust Linear Predictions: Analyses of Uniform Concentration, Fast Rates and Model Misspecification Saptarshi Chakraborty Debolina Paul Swagatam Das OOD 6 0 0 06 Jan 2022
A New Measure of Model Redundancy for Compressed Convolutional Neural Networks Feiqing Huang Yuefeng Si Yao Zheng Guodong Li 23 1 0 09 Dec 2021
Dictionary-based Low-Rank Approximations and the Mixed Sparse Coding problem Jérémy E. Cohen 14 0 0 24 Nov 2021
Tensor Component Analysis for Interpreting the Latent Space of GANs James Oldfield Markos Georgopoulos Yannis Panagakis M. Nicolaou Ioannis Patras GAN 30 15 0 23 Nov 2021
Semi-tensor Product-based TensorDecomposition for Neural Network Compression Hengling Zhao Yipeng Liu Xiaolin Huang Ce Zhu 26 6 0 30 Sep 2021
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions Yang Wu Dingheng Wang Xiaotong Lu Fan Yang Guoqi Li W. Dong Jianbo Shi 27 18 0 30 Aug 2021
Tensor Methods in Computer Vision and Deep Learning Yannis Panagakis Jean Kossaifi Grigorios G. Chrysos James Oldfield M. Nicolaou Anima Anandkumar S. Zafeiriou 19 119 0 07 Jul 2021
Efficient Tensor Contraction via Fast Count Sketch Xingyu Cao Jiani Liu 6 0 0 24 Jun 2021
Patch Tracking-based Streaming Tensor Ring Completion for Visual Data Recovery Yicong He George K. Atia 11 9 0 30 May 2021
Initialization and Regularization of Factorized Neural Layers M. Khodak Neil A. Tenenholtz Lester W. Mackey Nicolò Fusi 63 56 0 03 May 2021
Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification Konstantinos Makantasis Alexandros Georgogiannis A. Voulodimos Ioannis Georgoulas Anastasios Doulamis N. Doulamis 16 21 0 11 Apr 2021
High-Dimensional Uncertainty Quantification via Tensor Regression with Rank Determination and Adaptive Sampling Zichang He Zheng-Wei Zhang 21 16 0 31 Mar 2021
Block-term Tensor Neural Networks Jinmian Ye Guangxi Li Di Chen Haiqin Yang Shandian Zhe Zenglin Xu 11 30 0 10 Oct 2020
Linguistically-aware Attention for Reducing the Semantic-Gap in Vision-Language Tasks K. Gouthaman Athira M. Nambiar K. Srinivas Anurag Mittal VLM 19 12 0 18 Aug 2020
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections Csaba Tóth Patric Bonnier Harald Oberhauser AI4TS 11 12 0 12 Jun 2020
Quantum-Classical Machine learning by Hybrid Tensor Networks Ding Liu Zekun Yao Quan Zhang 11 9 0 15 May 2020
Space-Time Domain Tensor Neural Networks: An Application on Human Pose Classification Konstantinos Makantasis A. Voulodimos Anastasios Doulamis N. Bakalos N. Doulamis 3DH 6 1 0 17 Apr 2020
Spectral Learning on Matrices and Tensors Majid Janzamin Rong Ge Jean Kossaifi Anima Anandkumar 11 40 0 16 Apr 2020
Convolutional Tensor-Train LSTM for Spatio-temporal Learning Jiahao Su Wonmin Byeon Jean Kossaifi Furong Huang Jan Kautz Anima Anandkumar AI4TS 6 119 0 21 Feb 2020
Biologically inspired architectures for sample-efficient deep reinforcement learning Pierre Harvey Richemond Arinbjorn Kolbeinsson Yike Guo 11 2 0 25 Nov 2019
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization Paul Pu Liang Zhun Liu Yao-Hung Hubert Tsai Qibin Zhao Ruslan Salakhutdinov Louis-Philippe Morency AI4TS 25 81 0 01 Jul 2019
Factorized Higher-Order CNNs with an Application to Spatio-Temporal Emotion Estimation Jean Kossaifi Antoine Toisoul Adrian Bulat Yannis Panagakis Timothy M. Hospedales M. Pantic CVBM 6 80 0 14 Jun 2019
Separable Layers Enable Structured Efficient Linear Substitutions Gavia Gray Elliot J. Crowley Amos Storkey 15 3 0 03 Jun 2019
Multimodal Joint Emotion and Game Context Recognition in League of Legends Livestreams Charles Ringer James Alfred Walker M. Nicolaou 13 10 0 31 May 2019
Bayesian Tensorized Neural Networks with Automatic Rank Selection Cole Hawkins Zheng-Wei Zhang BDL 17 52 0 24 May 2019
Matrix and tensor decompositions for training binary neural networks Adrian Bulat Jean Kossaifi Georgios Tzimiropoulos M. Pantic MQ 6 8 0 16 Apr 2019
Incremental multi-domain learning with network latent tensor factorization Adrian Bulat Jean Kossaifi Georgios Tzimiropoulos M. Pantic CLL 11 34 0 12 Apr 2019
T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor Jean Kossaifi Adrian Bulat Georgios Tzimiropoulos M. Pantic 14 67 0 04 Apr 2019