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DynaConF: Dynamic Forecasting of Non-Stationary Time Series

17 September 2022

Papers citing "DynaConF: Dynamic Forecasting of Non-Stationary Time Series"

35 / 35 papers shown

Title
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors Yong Liu Chenyu Li Jianmin Wang Mingsheng Long AI4TS 81 118 0 30 May 2023
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers Yuqi Nie Nam H. Nguyen Phanwadee Sinthong Jayant Kalagnanam AIFin AI4TS 89 1,406 0 27 Nov 2022
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis Haixu Wu Teng Hu Yong Liu Hang Zhou Jianmin Wang Mingsheng Long AI4TS AIFin 145 813 0 05 Oct 2022
Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models Juan Miguel Lopez Alcaraz Nils Strodthoff DiffM 67 176 0 19 Aug 2022
Learning Deep Time-index Models for Time Series Forecasting Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Guosheng Lin AI4TS AI4CE 60 28 0 13 Jul 2022
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting Yong Liu Haixu Wu Jianmin Wang Mingsheng Long AI4TS 58 418 0 28 May 2022
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions Vibhor Gupta Jyoti Narwariya Pankaj Malhotra Lovekesh Vig Gautam M. Shroff AI4TS 48 21 0 14 Mar 2022
TACTiS: Transformer-Attentional Copulas for Time Series Alexandre Drouin Étienne Marcotte Nicolas Chapados AI4TS 251 39 0 07 Feb 2022
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Guosheng Lin AI4TS 83 167 0 03 Feb 2022
Deep Explicit Duration Switching Models for Time Series Abdul Fatir Ansari Konstantinos Benidis Richard Kurle Ali Caner Turkmen Harold Soh Alex Smola Yuyang Wang Tim Januschowski BDL 84 20 0 26 Oct 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation Y. Tashiro Jiaming Song Yang Song Stefano Ermon BDL DiffM 57 544 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 2,293 0 24 Jun 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting Kashif Rasul Calvin Seward Ingmar Schuster Roland Vollgraf DiffM 102 320 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
Time series forecasting with Gaussian Processes needs priors Giorgio Corani A. Benavoli Marco Zaffalon GP AI4TS 46 29 0 17 Sep 2020
Stanza: A Nonlinear State Space Model for Probabilistic Inference in Non-Stationary Time Series Anna K. Yanchenko S. Mukherjee BDL AI4TS 24 6 0 11 Jun 2020
Time Series Forecasting With Deep Learning: A Survey Bryan Lim S. Zohren AI4TS AI4CE 94 1,234 0 28 Apr 2020
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows Kashif Rasul Abdul-Saboor Sheikh Ingmar Schuster Urs M. Bergmann Roland Vollgraf BDL AI4TS AI4CE 104 187 0 14 Feb 2020
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes David Salinas Michael Bohlke-Schneider Laurent Callot Roberto Medico Jan Gasthaus AI4TS 71 229 0 07 Oct 2019
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting Boris N. Oreshkin Dmitri Carpov Nicolas Chapados Yoshua Bengio AI4TS 117 1,066 0 24 May 2019
Neural Processes M. Garnelo Jonathan Richard Schwarz Dan Rosenbaum Fabio Viola Danilo Jimenez Rezende S. M. Ali Eslami Yee Whye Teh BDL UQCV GP 99 515 0 04 Jul 2018
Conditional Neural Processes M. Garnelo Dan Rosenbaum Chris J. Maddison Tiago Ramalho D. Saxton Murray Shanahan Yee Whye Teh Danilo Jimenez Rezende S. M. Ali Eslami UQCV BDL 88 705 0 04 Jul 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling Shaojie Bai J. Zico Kolter V. Koltun DRL 97 4,845 0 04 Mar 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 201 2,896 0 21 Feb 2018
Variational Continual Learning Cuong V Nguyen Yingzhen Li T. Bui Richard Turner CLL VLM BDL 92 735 0 29 Oct 2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning Marco Fraccaro Simon Kamronn Ulrich Paquet Ole Winther BDL 76 284 0 16 Oct 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 732 132,363 0 12 Jun 2017
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks David Salinas Valentin Flunkert Jan Gasthaus AI4TS UQCV BDL 85 2,127 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 110 2,024 0 21 Mar 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 374 7,561 0 02 Dec 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 147 1,825 0 15 Jun 2016
MADE: Masked Autoencoder for Distribution Estimation M. Germain Karol Gregor Iain Murray Hugo Larochelle OOD SyDa UQCV 175 873 0 12 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks Arnaud Doucet Nando de Freitas Kevin P. Murphy Stuart J. Russell 107 1,488 0 16 Jan 2013