Fetching the paper…
Reading the bibliography…
Time series data appears in a variety of applications such as smart transportation and environmental monitoring.
Spatial interpolation of climatic normals: test of a new method in the canadian boreal forest
Ian A Nalder and Ross W Wein · 1998
Earlier work this paper cites.
Towards sensor database systems
Philippe Bonnet, Johannes Gehrke, and Praveen Seshadri · 2001
Earlier work this paper cites.
Fast random walk with restart and its applications
Hanghang Tong, Christos Faloutsos, and Jia-Yu Pan · 2006
Earlier work this paper cites.
Forecasting network data: Spatial interpolation of traffic counts from texas data
Xiaokun Wang and Kara M Kockelman · 2009
Earlier work this paper cites.
Information, physics, and computation
Marc Mezard and Andrea Montanari · 2009
Earlier work this paper cites.
Exploring the relationship between climate change and rice yield in bangladesh: An analysis of time series data
Md Abdur Rashid Sarker, Khorshed Alam, and Jeff Gow · 2012
Earlier work this paper cites.
Machine learning: a probabilistic perspective
Kevin P Murphy · 2012
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Gorilla: A fast, scalable, in-memory time series database
Tuomas Pelkonen, Scott Franklin, Justin Teller, Paul Cavallaro, Qi Huang, Justin Meza, and Kaushik Veeraraghavan · 2015
Earlier work this paper cites.
Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton · 2016
Earlier work this paper cites.
Temporal regularized matrix factorization for high-dimensional time series prediction
Hsiang-Fu Yu, Nikhil Rao, and Inderjit S Dhillon · 2016
Earlier work this paper cites.
Large scale retrieval and generation of image descriptions
Vicente Ordonez, Xufeng Han, Polina Kuznetsova, Girish Kulkarni, Margaret Mitchell, Kota Yamaguchi, Karl Stratos, Amit Goyal, Jesse Dodge, Alyssa Mensch, et al · 2016
Earlier work this paper cites.
Deep learning for time-series analysis
John Cristian Borges Gamboa · 2017
Cited alongside, same era.
Littletable: A time-series database and its uses
Sean Rhea, Eric Wang, Edmund Wong, Ethan Atkins, and Nat Storer · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Recurrent neural networks for multivariate time series with missing values
Zhengping Che, Sanjay Purushotham, Kyunghyun Cho, David Sontag, and Yan Liu · 2018
Cited alongside, same era.
Multivariate time series imputation with generative adversarial networks
Yonghong Luo, Xiangrui Cai, Ying Zhang, Jun Xu, and Xiaojie Yuan · 2018
Cited alongside, same era.
Spatio-temporal graph convolutional networks: a deep learning framework for traffic forecasting
Connecting the dots: Multivariate time series forecasting with graph neural networks
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, and Chengqi Zhang · 2020
Later among the works it cites.
N-beats: Neural basis expansion analysis for interpretable time series forecasting
Boris N Oreshkin, Dmitri Carpov, Nicolas Chapados, and Yoshua Bengio · 2020
Later among the works it cites.
Gp-vae: Deep probabilistic time series imputation
Vincent Fortuin, Dmitry Baranchuk, Gunnar Rätsch, and Stephan Mandt · 2020
Later among the works it cites.
Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al · 2020
Later among the works it cites.
Retrievegan: Image synthesis via differentiable patch retrieval
Hung-Yu Tseng, Hsin-Ying Lee, Lu Jiang, Ming-Hsuan Yang, and Weilong Yang · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Bing Yu, Haoteng Yin, and Zhanxing Zhu · 2018
Cited alongside, same era.
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-Xiang Wang, and Xifeng Yan · 2019
Cited alongside, same era.
Deep music analogy via latent representation disentanglement
Ruihan Yang, Dingsu Wang, Ziyu Wang, Tianyao Chen, Junyan Jiang, and Gus Xia · 2019
Cited alongside, same era.
Towards a more reliable historical reanalysis: Improvements for version 3 of the twentieth century reanalysis system
Laura C Slivinski, Gilbert P Compo, Jeffrey S Whitaker, Prashant D Sardeshmukh, Benjamin S Giese, Chesley McColl, Rob Allan, Xungang Yin, Russell Vose, Holly Titchner, et al · 2019
Cited alongside, same era.
E2gan: End-to-end generative adversarial network for multivariate time series imputation
Yonghong Luo, Ying Zhang, Xiangrui Cai, and Xiaojie Yuan · 2019
Cited alongside, same era.
T-gcn: A temporal graph convolutional network for traffic prediction
Ling Zhao, Yujiao Song, Chao Zhang, Yu Liu, Pu Wang, Tao Lin, Min Deng, and Haifeng Li · 2019
Cited alongside, same era.
Domain adaptive multi-modality neural attention network for financial forecasting
Dawei Zhou, Lecheng Zheng, Yada Zhu, Jianbo Li, and Jingrui He · 2020
Cited alongside, same era.
Informer: Beyond efficient transformer for long sequence time-series forecasting
Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, and Wancai Zhang · 2021
Later among the works it cites.
Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting
Haixu Wu, Jiehui Xu, Jianmin Wang, and Mingsheng Long · 2021
Later among the works it cites.
Network of tensor time series
Baoyu Jing, Hanghang Tong, and Yada Zhu · 2021
Later among the works it cites.
Hdmi: High-order deep multiplex infomax
Baoyu Jing, Chanyoung Park, and Hanghang Tong · 2021
Later among the works it cites.
Multiplex graph neural network for extractive text summarization
Baoyu Jing, Zeyu You, Tao Yang, Wei Fan, and Hanghang Tong · 2021
Later among the works it cites.
Network of tensor time series, September 8 2022
Yada Zhu, Hanghang Tong, Baoyu Jing, JinJun Xiong, Nitin Gaur, and Anna Wanda Topol · 2022
Closest in time.
Graph communal contrastive learning
Bolian Li, Baoyu Jing, and Hanghang Tong · 2022
Closest in time.