Long-term Forecasting using Higher Order Tensor RNNs

31 October 2017

Papers citing "Long-term Forecasting using Higher Order Tensor RNNs"

26 / 26 papers shown

Title
CANet: ChronoAdaptive Network for Enhanced Long-Term Time Series Forecasting under Non-Stationarity Mert Sonmezer Seyda Ertekin AI4TS 26 0 0 24 Apr 2025
WEITS: A Wavelet-enhanced residual framework for interpretable time series forecasting Ziyou Guo Yan Sun Tieru Wu AI4TS 36 2 0 17 May 2024
Inductive Attention for Video Action Anticipation Tsung-Ming Tai G. Fiameni Cheng-Kuang Lee Simon See O. Lanz 31 1 0 17 Dec 2022
FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting Maowei Jiang Pengyu Zeng Kai-Ming Wang Huan Liu Wenbo Chen Haoran Liu AI4TS 27 50 0 02 Dec 2022
Video Anomaly Detection via Prediction Network with Enhanced Spatio-Temporal Memory Exchange Guodong Shen Yuqi Ouyang Victor Sanchez AI4TS 19 7 0 26 Jun 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
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data Zhibo Zhu Ziqi Liu Ge Jin Zhiqiang Zhang Lei Chen Jun Zhou Jianyong Zhou AI4TS 21 15 0 27 Oct 2021
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks Jun Qi Chao-Han Huck Yang Pin-Yu Chen 24 44 0 06 Oct 2021
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting Haixu Wu Jiehui Xu Jianmin Wang Mingsheng Long AI4TS 12 2,090 0 24 Jun 2021
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting Y. Xu G. G. Calvi Danilo P. Mandic AI4TS 16 11 0 11 May 2021
Granger Causality: A Review and Recent Advances Ali Shojaie E. Fox CML AI4TS 32 257 0 05 May 2021
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity Vincent Le Guen Nicolas Thome AI4TS 16 26 0 14 Oct 2020
A Deep Learning Framework for COVID Outbreak Prediction Neeraj Jimson Mathew R. Behera Zenin Easa Panthakkalakath AI4TS 11 5 0 30 Sep 2020
Generating Realistic Stock Market Order Streams Junyi Li Xintong Wang Yaoyang Lin Arunesh Sinha Michael P. Wellman GAN AIFin 13 81 0 07 Jun 2020
An Overview of Neural Network Compression James OÑeill AI4CE 42 98 0 05 Jun 2020
Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting Hongbin Liu Ickjai Lee AI4TS 25 1 0 19 May 2020
Bayesian Temporal Factorization for Multidimensional Time Series Prediction Xinyu Chen Lijun Sun AI4TS 8 205 0 14 Oct 2019
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models Vincent Le Guen Nicolas Thome AI4TS 27 133 0 19 Sep 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
Generalized Tensor Models for Recurrent Neural Networks Valentin Khrulkov Oleksii Hrinchuk Ivan V. Oseledets GNN 14 25 0 30 Jan 2019
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning Guillaume Rabusseau Tianyu Li Doina Precup 18 41 0 04 Jul 2018
Foundations of Sequence-to-Sequence Modeling for Time Series Vitaly Kuznetsov Zelda E. Mariet AI4TS BDL 17 56 0 09 May 2018
Learning Relevant Features of Data with Multi-scale Tensor Networks Tayssir Doghri 25 137 0 31 Dec 2017
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition Jinmian Ye Linnan Wang Guangxi Li Di Chen Shandian Zhe Xinqi Chu Zenglin Xu 16 132 0 14 Dec 2017
TensorLy: Tensor Learning in Python Jean Kossaifi Yannis Panagakis Anima Anandkumar M. Pantic 15 350 0 29 Oct 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 227 7,903 0 13 Jun 2015