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

20 May 2020

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

6 / 6 papers shown

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 31 2 0 14 Oct 2024
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl J. R. Anaraki Lei Guo BDL AI4TS 26 9 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 25 85 0 11 Apr 2023
A comparison of LSTM and GRU networks for learning symbolic sequences Roberto Cahuantzi Xinye Chen S. Güttel 22 135 0 05 Jul 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 36 363 0 04 Dec 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 25 176 0 21 Apr 2020