Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting

9 May 2019

Inderjit Dhillon

Papers citing "Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting"

49 / 149 papers shown

Title
AdaRNN: Adaptive Learning and Forecasting of Time Series Yuntao Du Jindong Wang Wenjie Feng Sinno Jialin Pan Tao Qin Renjun Xu Chongjun Wang AI4TS 35 238 0 10 Aug 2021
Wasserstein GAN: Deep Generation applied on Bitcoins financial time series Moritz Pfenninger Samuel Rikli Daniel Nico Bigler Osterrieder Joerg GAN AI4TS 18 5 0 13 Jul 2021
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting Haixu Wu Jiehui Xu Jianmin Wang Mingsheng Long AI4TS 53 2,098 0 24 Jun 2021
Dynamical Deep Generative Latent Modeling of 3D Skeletal Motion Amirreza Farnoosh Sarah Ostadabbas 13 3 0 18 Jun 2021
On the benefits of maximum likelihood estimation for Regression and Forecasting Pranjal Awasthi Abhimanyu Das Rajat Sen A. Suresh AI4TS 21 10 0 18 Jun 2021
SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction Minhao Liu Ailing Zeng Mu-Hwa Chen Zhijian Xu Qiuxia Lai Lingna Ma Qiang Xu AI4TS 24 340 0 17 Jun 2021
Hierarchically Regularized Deep Forecasting Biswajit Paria Rajat Sen Amr Ahmed Abhimanyu Das AI4TS 31 16 0 14 Jun 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting Soumyasundar Pal Liheng Ma Yingxue Zhang Mark J. Coates BDL AI4TS 33 22 0 10 Jun 2021
Deep Probabilistic Koopman: Long-term time-series forecasting under periodic uncertainties Alex Troy Mallen Henning Lange J. Nathan Kutz AI4TS 22 8 0 10 Jun 2021
Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression O. Sprangers Sebastian Schelter Maarten de Rijke AI4CE 22 39 0 03 Jun 2021
Monash Time Series Forecasting Archive Rakshitha Godahewa Christoph Bergmeir Geoffrey I. Webb Rob J. Hyndman Pablo Montero-Manso AI4TS 24 144 0 14 May 2021
Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation Xinyu Chen Mengying Lei Nicolas Saunier Lijun Sun 27 102 0 30 Apr 2021
Deep Time Series Forecasting with Shape and Temporal Criteria Vincent Le Guen Nicolas Thome AI4TS 35 27 0 09 Apr 2021
Spatiotemporal Data Mining: A Survey on Challenges and Open Problems Ali Hamdi Khaled Shaban A. Erradi Amr Mohamed Shakila Khan Rumi Flora D. Salim AI4TS 34 98 0 31 Mar 2021
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting Defu Cao Yujing Wang Juanyong Duan Ce Zhang Xia Zhu ... Yunhai Tong Bixiong Xu Jing Bai Jie Tong Qi Zhang AI4TS 16 498 0 13 Mar 2021
Variance Reduced Training with Stratified Sampling for Forecasting Models Yucheng Lu Youngsuk Park Lifan Chen Bernie Wang Christopher De Sa Dean Phillips Foster AI4TS 38 17 0 02 Mar 2021
Missing Value Imputation on Multidimensional Time Series Parikshit Bansal Prathamesh Deshpande Sunita Sarawagi AI4TS 14 63 0 02 Mar 2021
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series Xing Han S. Dasgupta Joydeep Ghosh AI4TS 31 34 0 25 Feb 2021
Domain Adaptation for Time Series Forecasting via Attention Sharing Xiaoyong Jin Youngsuk Park Danielle C. Maddix Bernie Wang Xifeng Yan TTA OOD AI4TS 104 75 0 13 Feb 2021
Time Series (re)sampling using Generative Adversarial Networks Christian Moller Dahl Emil N. Sørensen TTA AI4TS 21 6 0 30 Jan 2021
Adjusting for Autocorrelated Errors in Neural Networks for Time Series Fan-Keng Sun C. Lang Duane S. Boning OOD AI4TS 35 28 0 28 Jan 2021
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting Nam H. Nguyen Brian Quanz BDL AI4TS 140 66 0 25 Jan 2021
Do We Really Need Deep Learning Models for Time Series Forecasting? Shereen Elsayed Daniela Thyssens Ahmed Rashed H. Jomaa Lars Schmidt-Thieme AI4TS 16 105 0 06 Jan 2021
Ensembles of Localised Models for Time Series Forecasting Rakshitha Godahewa Kasun Bandara Geoffrey I. Webb Slawek Smyl Christoph Bergmeir AI4TS 35 43 0 30 Dec 2020
Global Models for Time Series Forecasting: A Simulation Study Hansika Hewamalage Christoph Bergmeir Kasun Bandara AI4TS 39 57 0 23 Dec 2020
From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting K. Mangalam Yang An Harshayu Girase Jitendra Malik 19 264 0 02 Dec 2020
Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning Haoyi Fan Fengbin Zhang Yue Gao AI4TS 30 14 0 27 Nov 2020
TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting Hao Xue Flora D. Salim AI4TS 19 21 0 11 Nov 2020
ATCN: Resource-Efficient Processing of Time Series on Edge Mohammadreza Baharani Hamed Tabkhi AI4TS 17 1 0 10 Nov 2020
Graph Deep Factors for Forecasting Hongjie Chen Ryan A. Rossi K. Mahadik Sungchul Kim Hoda Eldardiry BDL AI4TS 34 0 0 14 Oct 2020
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity Vincent Le Guen Nicolas Thome AI4TS 18 26 0 14 Oct 2020
Loosely Coupled Federated Learning Over Generative Models Shaoming Song Yunfeng Shao Jian Li FedML 25 1 0 28 Sep 2020
Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting Amirreza Farnoosh Bahar Azari Sarah Ostadabbas BDL AI4TS 15 20 0 10 Sep 2020
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality Pablo Montero-Manso Rob J. Hyndman AI4TS 18 133 0 02 Aug 2020
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting Boris N. Oreshkin A. Amini Lucy Coyle Mark J. Coates AI4TS 19 94 0 30 Jul 2020
Multi-future Merchant Transaction Prediction Chin-Chia Michael Yeh Zhongfang Zhuang Wei Zhang Liang Wang AI4TS 6 3 0 10 Jul 2020
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting Lei Bai Lina Yao Can Li Xianzhi Wang Can Wang GNN AI4TS 31 1,150 0 06 Jul 2020
On Multivariate Singular Spectrum Analysis and its Variants Anish Agarwal Abdullah Alomar Devavrat Shah AI4TS 10 0 0 24 Jun 2020
Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting Xinyu Chen Lijun Sun AI4TS 13 21 0 18 Jun 2020
Inductive Graph Neural Networks for Spatiotemporal Kriging Yuankai Wu Dingyi Zhuang A. Labbe Lijun Sun AI4CE 25 144 0 13 Jun 2020
Stanza: A Nonlinear State Space Model for Probabilistic Inference in Non-Stationary Time Series Anna K. Yanchenko S. Mukherjee BDL AI4TS 14 6 0 11 Jun 2020
The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models Stephan Rabanser Tim Januschowski Valentin Flunkert David Salinas Jan Gasthaus BDL AI4TS 22 20 0 20 May 2020
Time Series Forecasting With Deep Learning: A Survey Bryan Lim S. Zohren AI4TS AI4CE 54 1,187 0 28 Apr 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey Konstantinos Benidis Syama Sundar Rangapuram Valentin Flunkert Bernie Wang Danielle C. Maddix ... David Salinas Lorenzo Stella François-Xavier Aubet Laurent Callot Tim Januschowski AI4TS 25 176 0 21 Apr 2020
Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions Xueyan Yin Genze Wu Jinze Wei Yanming Shen Heng Qi Baocai Yin AI4TS 25 45 0 18 Apr 2020
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting J. Dabrowski Yifan Zhang Ashfaqur Rahman AI4TS 11 36 0 11 Feb 2020
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes David Salinas Michael Bohlke-Schneider Laurent Callot Roberto Medico Jan Gasthaus AI4TS 30 224 0 07 Oct 2019
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models Vincent Le Guen Nicolas Thome AI4TS 32 134 0 19 Sep 2019
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Hansika Hewamalage Christoph Bergmeir Kasun Bandara AI4TS 11 872 0 02 Sep 2019