DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

13 April 2017

Papers citing "DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks"

50 / 263 papers shown

Title
This Time is Different: An Observability Perspective on Time Series Foundation Models Ben Cohen Emaad Khwaja Youssef Doubli Salahidine Lemaachi Chris Lettieri ... Kan Wang Stephan Xie David Asker Ameet Talwalkar Othmane Abou-Amal AI4TS AI4CE 17 0 0 20 May 2025
Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting Wenjie Ou Zhishuo Zhao Dongyue Guo Yi Lin AI4TS 22 0 0 16 May 2025
ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Chengsen Wang Qi Qi Zhongwen Rao Lujia Pan Jingyu Wang Jianxin Liao AI4TS 24 0 0 15 May 2025
IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Yifan Zhou Yibo Wang Chao Shang AI4TS 54 0 0 09 May 2025
Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Charupriya Sharma Iñaki Estella Aguerri Daniel Guimarans AI4TS 26 0 0 06 May 2025
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting Chengsen Wang Q. Qi Yufei Guo Haifeng Sun Zirui Zhuang J. Liao AI4TS 45 0 0 01 May 2025
D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams Shingo Higashiguchi Yasuko Matsubara Koki Kawabata Taichi Murayama Yasushi Sakurai AI4TS 31 0 0 01 May 2025
A comparative study of deep learning and ensemble learning to extend the horizon of traffic forecasting Xiao Zheng Saeed Asadi Bagloee Majid Sarvi AI4TS 48 0 0 30 Apr 2025
Pretraining Large Brain Language Model for Active BCI: Silent Speech Jinzhao Zhou Zehong Cao Yiqun Duan Connor Barkley Daniel Leong ... Ziyi Zhao T. Do Yu-Cheng Chang Sheng-Fu Liang Chin-Teng Lin 42 0 0 29 Apr 2025
CANet: ChronoAdaptive Network for Enhanced Long-Term Time Series Forecasting under Non-Stationarity Mert Sonmezer Seyda Ertekin AI4TS 31 0 0 24 Apr 2025
Forecasting Cryptocurrency Prices using Contextual ES-adRNN with Exogenous Variables Slawek Smyl Grzegorz Dudek Paweł Pełka AI4TS 26 1 0 11 Apr 2025
ModelRadar: Aspect-based Forecast Evaluation Vítor Cerqueira Luis Roque Carlos Soares 64 0 0 31 Mar 2025
Informer in Algorithmic Investment Strategies on High Frequency Bitcoin Data Filip Stefaniuk Robert Ślepaczuk AIFin 43 0 0 23 Mar 2025
Deep Learning for Time Series Forecasting: A Survey X. Kong Zhenghao Chen Weiyao Liu Kaili Ning Lechao Zhang Syauqie Muhammad Marier Yichen Liu Yuhao Chen Feng Xia AI4TS AI4CE 58 4 0 13 Mar 2025
Time series forecasting based on optimized LLM for fault prediction in distribution power grid insulators João Pedro Matos-Carvalho Stefano Frizzo Stefenon Valderi Reis Quietinho Leithardt Kin-Choong Yow AI4TS 43 0 0 24 Feb 2025
Modeling Time-evolving Causality over Data Streams Naoki Chihara Yasuko Matsubara Ren Fujiwara Yasushi Sakurai AI4TS 88 0 0 13 Feb 2025
STAN: Smooth Transition Autoregressive Networks Hugo Inzirillo Remi Genet 73 0 0 30 Jan 2025
AALF: Almost Always Linear Forecasting Matthias Jakobs Thomas Liebig AI4TS 91 0 0 17 Jan 2025
Explore the Use of Time Series Foundation Model for Car-Following Behavior Analysis Luwei Zeng Runze Yan AI4TS 53 0 0 13 Jan 2025
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting Daojun Liang Haixia Zhang Dongfeng Yuan UQCV 77 0 0 08 Jan 2025
Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy Jamie Todd Junqi Jiang Aaron Russo Steffen Winkler Stuart Sale Joseph McMillan Antonio Rago AI4TS 38 0 0 07 Jan 2025
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis Sabera Talukder Yisong Yue Georgia Gkioxari AI4TS 58 13 0 03 Jan 2025
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting Yanlong Wang Jinfeng Xu Fei Ma Shao-Lun Huang Danny Dongning Sun Xiao-Ping Zhang AI4TS 45 1 0 03 Nov 2024
FACTS: A Factored State-Space Framework For World Modelling Li Nanbo Firas Laakom Yucheng Xu Wenyi Wang Jürgen Schmidhuber AI4TS 235 0 0 28 Oct 2024
Towards Neural Scaling Laws for Time Series Foundation Models Qingren Yao Chao-Han Huck Yang Renhe Jiang Keli Zhang Ming Jin Shirui Pan AI4TS AI4CE 53 8 0 16 Oct 2024
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba Li Wu Wenbin Pei Jiulong Jiao Qiang Zhang Mamba AI4TS 43 2 0 15 Oct 2024
MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecasting Vincent Zhihao Zheng Lijun Sun AI4TS 45 1 0 11 Oct 2024
Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting Ignacio Aguilera-Martos Andrés Herrera-Poyatos Julián Luengo Francisco Herrera AI4TS 38 0 0 04 Oct 2024
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting Marcel Kollovieh Marten Lienen David Lüdke Leo Schwinn Stephan Günnemann AI4TS BDL DiffM 50 6 0 03 Oct 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts Xiaoming Shi Shiyu Wang Yuqi Nie Dianqi Li Zhou Ye Qingsong Wen Ming Jin AI4TS 53 32 0 24 Sep 2024
A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts Hugo Inzirillo Remi Genet MoE 40 4 0 23 Sep 2024
Location based Probabilistic Load Forecasting of EV Charging Sites: Deep Transfer Learning with Multi-Quantile Temporal Convolutional Network Mohammad Wazed Ali Asif bin Mustafa Md. Aukerul Moin Shuvo Bernhard Sick 20 0 0 18 Sep 2024
D2Vformer: A Flexible Time Series Prediction Model Based on Time Position Embedding Xiaobao Song Hao Wang Liwei Deng Yuxin He Wenming Cao Chi-Sing Leungc AI4TS 35 0 0 17 Sep 2024
Data-driven Modeling of Combined Sewer Systems for Urban Sustainability: An Empirical Evaluation Vipin Singh Tianheng Ling Teodor Chiaburu Felix Biessmann AI4CE 48 1 0 21 Aug 2024
Unlocking the Power of LSTM for Long Term Time Series Forecasting Yaxuan Kong Zepu Wang Yuqi Nie Tian Zhou Stefan Zohren Yuxuan Liang Peng Sun Qingsong Wen AI4TS 35 12 0 19 Aug 2024
Link Representation Learning for Probabilistic Travel Time Estimation Chen Xu Qiang Wang Lijun Sun AI4TS 34 0 0 08 Jul 2024
Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity Harshavardhan Kamarthi Aditya B. Sasanur Xinjie Tong Xingyu Zhou James Peters Joe Czyzyk B. Aditya Prakash AI4TS 34 2 0 02 Jul 2024
MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting Xiuding Cai Yaoyao Zhu Xueyao Wang Yu Yao Mamba AI4TS 43 7 0 26 May 2024
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting Sepehr Sharifi Andrea Stocco Lionel C. Briand AI4TS 53 1 0 21 May 2024
From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems Xin Li Jingdong Zhang Qunxi Zhu Chengli Zhao Xue Zhang Xiaojun Duan Wei Lin 63 3 0 19 May 2024
WEITS: A Wavelet-enhanced residual framework for interpretable time series forecasting Ziyou Guo Yan Sun Tieru Wu AI4TS 43 2 0 17 May 2024
LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting Stijn Verdenius Andrea Zerio Roy L.M. Wang BDL AI4TS AI4CE 39 2 0 16 May 2024
Enhancing Maritime Trajectory Forecasting via H3 Index and Causal Language Modelling (CLM) Nicolas Drapier Aladine Chetouani A. Chateigner 40 2 0 15 May 2024
Forecasting with Hyper-Trees Alexander März Kashif Rasul 46 0 0 13 May 2024
Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting Abishek Sriramulu Christoph Bergmeir Slawek Smyl AI4TS 23 0 0 12 May 2024
Data Augmentation Policy Search for Long-Term Forecasting Liran Nochumsohn Omri Azencot AI4TS TPM 51 3 0 01 May 2024
Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand Slawek Smyl Boris N. Oreshkin Paweł Pełka Grzegorz Dudek AI4TS 40 0 0 26 Apr 2024
Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Data C. Symeonidis N. Nikolaidis 36 0 0 26 Apr 2024
Designing forecasting software for forecast users: Empowering non-experts to create and understand their own forecasts Richard Stromer Oskar Triebe Chad Zanocco Ram Rajagopal AI4TS 24 0 0 22 Apr 2024
A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting Young-Jin Park Donghyun Kim Frédéric Odermatt Juho Lee KyungHyun Kim AI4TS 44 3 0 29 Feb 2024