Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting

AAAI Conference on Artificial Intelligence (AAAI), 2021

25 January 2021

Papers citing "Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting"

29 / 29 papers shown

Title
AI Foundation Model for Time Series with Innovations Representation Lang Tong Xinyi Wang AI4TS AI4CE 49 0 0 02 Oct 2025
Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction Yuanpei Gao Qi Yan Yan Leng Renjie Liao AI4TS 211 0 0 05 Jun 2025
How to Unlock Time Series Editing? Diffusion-Driven Approach with Multi-Grained Control Hao Yu Chu Xin Cheng Runlong Yu Yuyang Ye Shiwei Tong Zhaofeng Liu Defu Lian DiffM AI4TS 240 1 0 05 Jun 2025
CoRe: Coherency Regularization for Hierarchical Time Series Rares Cristian Pavithra Harhsa Georgia Perakis Brian Quanz AI4TS 126 0 0 21 Feb 2025
The Roles of Generative Artificial Intelligence in Internet of Electric Vehicles Hanwen Zhang Dusit Niyato Wei Zhang Changyuan Zhao Hongyang Du Abbas Jamalipour Sumei Sun Yiyang Pei AI4CE 139 3 0 24 Sep 2024
A Survey of Transformer Enabled Time Series Synthesis Alexander Sommers Logan Cummins Sudip Mittal Shahram Rahimi Maria Seale Joseph Jaboure Thomas Arnold AI4TS 184 8 0 04 Jun 2024
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting MaskKnowledge Discovery and Data Mining (KDD), 2024 Zineb Senane Lele Cao V. Buchner Yusuke Tashiro Lei You P. Herman Mats Nordahl Ruibo Tu Vilhelm von Ehrenheim DiffM AI4TS 233 22 0 09 May 2024
Deep Coupling Network For Multivariate Time Series Forecasting Kun Yi Tao Gui Hui He Kaize Shi Liang Hu Ning An ZhenDong Niu AI4TS 110 11 0 23 Feb 2024
Generative Probabilistic Time Series Forecasting and Applications in Grid Operations Xinyi Wang Lang Tong Qing Zhao AI4TS 194 4 0 21 Feb 2024
The Rise of Diffusion Models in Time-Series Forecasting Caspar Meijer Lydia Y. Chen DiffM AI4TS 206 21 0 05 Jan 2024
Encoding Seasonal Climate Predictions for Demand Forecasting with Modular Neural Network S. Marvaniya Jitendra Singh Nicolas Galichet Fred Ochieng Otieno Geeth de Mel Kommy Weldemariam AI4TS 182 0 0 05 Sep 2023
Deep Evidential Learning for Bayesian Quantile Regression F. B. Hüttel Filipe Rodrigues Francisco Câmara Pereira UD EDL BDL UQCV 122 8 0 21 Aug 2023
OrcoDCS: An IoT-Edge Orchestrated Online Deep Compressed Sensing FrameworkInternational Conference on Distributed Computing Systems Workshops (ICDCSW), 2023 Cheng-Wei Ching Chirag Gupta Zisen Huang Liting Hu 94 0 0 05 Aug 2023
Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting Xinli Yu Zheng Chen Yuan Ling Shujing Dong Zongying Liu Yanbin Lu AIFin AI4TS 311 103 0 19 Jun 2023
Non-parametric Probabilistic Time Series Forecasting via Innovations Representation Xinyi Wang Mei-Yu Lee Qing Zhao Lang Tong AI4TS 185 3 0 05 Jun 2023
Regions of Reliability in the Evaluation of Multivariate Probabilistic ForecastsInternational Conference on Machine Learning (ICML), 2023 Étienne Marcotte Valentina Zantedeschi Alexandre Drouin Nicolas Chapados AI4TS 140 6 0 19 Apr 2023
Generative Time Series Forecasting with Diffusion, Denoise, and DisentanglementNeural Information Processing Systems (NeurIPS), 2023 Jian Wang Xin-xin Lu Yaqing Wang De-Yu Dou DiffM AI4TS 208 146 0 08 Jan 2023
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and DistributionIEEE International Conference on Data Engineering (ICDE), 2023 Yan Li Xin Lu Haoyi Xiong Jian Tang Jian Su Bo Jin Dejing Dou AI4TS 147 39 0 05 Jan 2023
Federated Learning for 5G Base Station Traffic Forecasting V. Perifanis Nikolaos Pavlidis R. Koutsiamanis P. Efraimidis AI4TS 229 59 0 28 Nov 2022
Probabilistic Decomposition Transformer for Time Series ForecastingSDM (SDM), 2022 Junlong Tong Liping Xie Wankou Yang Kanjian Zhang AI4TS 104 11 0 31 Oct 2022
Latent Temporal Flows for Multivariate Analysis of Wearables DataMachine Learning in Health Care (MLHC), 2022 Magda Amiridi Gregory Darnell S. Jewell AI4TS 132 2 0 14 Oct 2022
DynaConF: Dynamic Forecasting of Non-Stationary Time Series Siqi Liu Andreas M. Lehrmann BDL AI4TS 161 2 0 17 Sep 2022
Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series ForecastingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Hui He Tao Gui Kun Yi Kaize Shi ZhenDong Niu Longbin Cao TTA AI4TS 266 14 0 01 Sep 2022
Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models Juan Miguel Lopez Alcaraz Nils Strodthoff DiffM 269 226 0 19 Aug 2022
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series ForecastingKnowledge Discovery and Data Mining (KDD), 2022 Junchen Ye Zihan Liu Bowen Du Leilei Sun Weimiao Li Yanjie Fu Hui Xiong AI4TS 123 121 0 28 Jun 2022
Probabilistic forecasts of wind power generation in regions with complex topography using deep learning methods: An Arctic case Odin Foldvik Eikeland Finn Dag Hovem T. Olsen M. Chiesa F. Bianchi 170 32 0 10 Mar 2022
Decoupling Local and Global Representations of Time SeriesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 S. Tonekaboni Chun-Liang Li Sercan O. Arik Anna Goldenberg Tomas Pfister AI4TS CML OOD 172 24 0 04 Feb 2022
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series ImputationNeural Information Processing Systems (NeurIPS), 2021 Y. Tashiro Jiaming Song Yang Song Stefano Ermon BDL DiffM 364 778 0 07 Jul 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 217 586 0 17 Jun 2021