The Effectiveness of Discretization in Forecasting: An Empirical Study
on Neural Time Series Models

The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models

20 May 2020

Stephan Rabanser

Tim Januschowski

Valentin Flunkert

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Papers citing "The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models"

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Title
Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs Ishan Jindal Chandana Badrinath Pranjal Bharti Lakkidi Vinay Sachin Dev Sharma CLL ALM 82 2 0 14 Oct 2024
Hierarchical Classification Auxiliary Network for Time Series Forecasting Yanru Sun Zongxia Xie Dongyue Chen Emadeldeen Eldele Qinghua Hu AI4TS 97 4 0 29 May 2024
Predicting UAV Type: An Exploration of Sampling and Data Augmentation for Time Series Classification Tarik Crnovrsanin Calvin Yu Dane Hankamer Cody Dunne AI4TS 19 0 0 01 Mar 2024
Large Language Models for Time Series: A Survey Xiyuan Zhang Ranak Roy Chowdhury Rajesh K. Gupta Jingbo Shang AI4TS 153 67 0 02 Feb 2024
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl Lei Guo AI4TS 96 3 0 22 Dec 2023
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl J. R. Anaraki Lei Guo BDL AI4TS 81 12 0 22 Dec 2023
Deep Non-Parametric Time Series Forecaster Syama Sundar Rangapuram Jan Gasthaus Lorenzo Stella Valentin Flunkert David Salinas Yuyang Wang Tim Januschowski AI4TS 87 6 0 22 Dec 2023
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting Lu Han Han-Jia Ye De-Chuan Zhan AI4TS 103 100 0 11 Apr 2023
VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series Forecasting Kashif Rasul Young-Jin Park Max Nihlén Ramström KyungHyun Kim BDL AI4TS 38 4 0 31 May 2022
A comparison of LSTM and GRU networks for learning symbolic sequences Roberto Cahuantzi Xinye Chen S. Güttel 93 141 0 05 Jul 2021
Spliced Binned-Pareto Distribution for Robust Modeling of Heavy-tailed Time Series Elena Ehrlich Laurent Callot Franccois-Xavier Aubet AI4TS 63 6 0 21 Jun 2021
Forecasting: theory and practice F. Petropoulos D. Apiletti Vassilios Assimakopoulos M. Z. Babai Devon K. Barrow ... J. Arenas Xiaoqian Wang R. L. Winkler Alisa Yusupova F. Ziel AI4TS 125 377 0 04 Dec 2020
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality Pablo Montero-Manso Rob J. Hyndman AI4TS 89 139 0 02 Aug 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey Konstantinos Benidis Syama Sundar Rangapuram Valentin Flunkert Bernie Wang Danielle C. Maddix ... David Salinas Lorenzo Stella François-Xavier Aubet Laurent Callot Tim Januschowski AI4TS 99 200 0 21 Apr 2020