Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution

5 January 2023

Haoyi Xiong

Papers citing "Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution"

32 / 32 papers shown

Title
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Yiming Niu Jinliang Deng Lulu Zhang Zimu Zhou Yongxin Tong AI4TS 161 0 0 09 May 2025
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 283 30,149 0 01 Mar 2022
Swin Transformer V2: Scaling Up Capacity and Resolution Ze Liu Han Hu Yutong Lin Zhuliang Yao Zhenda Xie ... Yue Cao Zheng Zhang Li Dong Furu Wei B. Guo ViT 219 1,822 0 18 Nov 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 229 1,155 0 07 Jul 2021
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting Haixu Wu Jiehui Xu Jianmin Wang Mingsheng Long AI4TS 111 2,282 0 24 Jun 2021
TS2Vec: Towards Universal Representation of Time Series Zhihan Yue Yujing Wang Juanyong Duan Tianmeng Yang Congrui Huang Yu Tong Bixiong Xu AI4TS 87 580 0 19 Jun 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 463 21,564 0 25 Mar 2021
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series Yinjun Wu Jingchao Ni Wei Cheng Bo Zong Dongjin Song Zhengzhang Chen Yanchi Liu Xuchao Zhang Haifeng Chen S. Davidson AI4TS 66 50 0 03 Mar 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting Kashif Rasul Calvin Seward Ingmar Schuster Roland Vollgraf DiffM 97 319 0 28 Jan 2021
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting Nam H. Nguyen Brian Quanz BDL AI4TS 184 71 0 25 Jan 2021
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks Jindong Han Hao Liu Hengshu Zhu Hui Xiong Dejing Dou 124 76 0 30 Dec 2020
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 554 2,098 0 28 Jul 2020
Longformer: The Long-Document Transformer Iz Beltagy Matthew E. Peters Arman Cohan RALM VLM 176 4,090 0 10 Apr 2020
Reformer: The Efficient Transformer Nikita Kitaev Lukasz Kaiser Anselm Levskaya VLM 199 2,327 0 13 Jan 2020
Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation Yi Luo Zhuo Chen Takuya Yoshioka AI4TS 86 771 0 14 Oct 2019
Revealing the Dark Secrets of BERT Olga Kovaleva Alexey Romanov Anna Rogers Anna Rumshisky 38 554 0 21 Aug 2019
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting Shiyang Li Xiaoyong Jin Yao Xuan Xiyou Zhou Wenhu Chen Yu Wang Xifeng Yan AI4TS 107 1,426 0 29 Jun 2019
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting Boris N. Oreshkin Dmitri Carpov Nicolas Chapados Yoshua Bengio AI4TS 115 1,063 0 24 May 2019
Generating Long Sequences with Sparse Transformers R. Child Scott Gray Alec Radford Ilya Sutskever 129 1,908 0 23 Apr 2019
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 728 132,199 0 12 Jun 2017
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks David Salinas Valentin Flunkert Jan Gasthaus AI4TS UQCV BDL 81 2,123 0 13 Apr 2017
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks Guokun Lai Wei-Cheng Chang Yiming Yang Hanxiao Liu BDL AI4TS 108 2,020 0 21 Mar 2017
Conditional Time Series Forecasting with Convolutional Neural Networks Anastasia Borovykh S. Bohté C. Oosterlee AI4TS 58 476 0 14 Mar 2017
Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks Rahul Dey F. Salem 125 1,401 0 20 Jan 2017
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 142 1,823 0 15 Jun 2016
Estimating Structured Vector Autoregressive Model Igor Melnyk A. Banerjee 70 53 0 21 Feb 2016
Time-series modeling with undecimated fully convolutional neural networks Roni Mittelman AI4TS BDL 64 50 0 03 Aug 2015
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 437 20,584 0 10 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.1K 23,370 0 03 Jun 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013
Deep AutoRegressive Networks Karol Gregor Ivo Danihelka A. Mnih Charles Blundell Daan Wierstra AI4TS BDL 96 282 0 31 Oct 2013
Generating Sequences With Recurrent Neural Networks Alex Graves GAN 155 4,039 0 04 Aug 2013