Retrieval Based Time Series Forecasting

27 September 2022

Papers citing "Retrieval Based Time Series Forecasting"

22 / 22 papers shown

Title
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting Zhining Liu Ze Yang Xiao Lin Ruizhong Qiu Tianxin Wei Yada Zhu Hendrik Hamann Jingrui He Hanghang Tong AI4TS 46 0 0 24 May 2025
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster Kanghui Ning Zijie Pan Yu Liu Yushan Jiang Junxuan Zhang Kashif Rasul Anderson Schneider Lintao Ma Yuriy Nevmyvaka Dongjin Song AI4TS VLM 116 1 0 06 Mar 2025
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 134 30,021 0 01 Mar 2022
Graph Communal Contrastive Learning Bolian Li Baoyu Jing Hanghang Tong 38 58 0 28 Oct 2021
Multiplex Graph Neural Network for Extractive Text Summarization Baoyu Jing Zeyu You Tao Yang Wei Fan Hanghang Tong 62 43 0 29 Aug 2021
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting Haixu Wu Jiehui Xu Jianmin Wang Mingsheng Long AI4TS 82 2,168 0 24 Jun 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 31 507 0 13 Mar 2021
HDMI: High-order Deep Multiplex Infomax Baoyu Jing Chanyoung Park Hanghang Tong 106 165 0 15 Feb 2021
RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval Hung-Yu Tseng Hsin-Ying Lee Lu Jiang Ming-Hsuan Yang Weilong Yang DiffM 3DV 122 52 0 16 Jul 2020
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks Zonghan Wu Shirui Pan Guodong Long Jing Jiang Xiaojun Chang Chengqi Zhang AI4TS 59 1,365 0 24 May 2020
GP-VAE: Deep Probabilistic Time Series Imputation Vincent Fortuin Dmitry Baranchuk Gunnar Rätsch Stephan Mandt BDL AI4TS 46 247 0 09 Jul 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 53 1,398 0 29 Jun 2019
Deep Music Analogy Via Latent Representation Disentanglement Ruihan Yang Dingsu Wang Ziyu Wang Tianyao Chen Junyan Jiang Gus Xia CoGe DRL 44 69 0 09 Jun 2019
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting Boris N. Oreshkin Dmitri Carpov Nicolas Chapados Yoshua Bengio AI4TS 85 1,026 0 24 May 2019
T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction Ling Zhao Yujiao Song Chao Zhang Yu Liu Pu Wang Tao Lin Min Deng Haifeng Li AI4TS 59 2,004 0 12 Nov 2018
BRITS: Bidirectional Recurrent Imputation for Time Series Wei Cao Dong Wang Jian Li Hao Zhou Lei Li Yitan Li AI4TS 45 610 0 27 May 2018
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting Ting Yu Haoteng Yin Zhanxing Zhu GNN AI4TS 77 3,675 0 14 Sep 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 430 129,831 0 12 Jun 2017
Deep Learning for Time-Series Analysis J. Gamboa AI4TS 43 439 0 07 Jan 2017
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 239 10,412 0 21 Jul 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 288 1,918 0 06 Jun 2016
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 354 16,972 0 20 Dec 2013