ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2505.23583
  4. Cited By
Improving Time Series Forecasting via Instance-aware Post-hoc Revision

Improving Time Series Forecasting via Instance-aware Post-hoc Revision

29 May 2025
Zhiding Liu
Mingyue Cheng
Guanhao Zhao
Jiqian Yang
Qi Liu
Enhong Chen
    AI4TS
ArXivPDFHTML

Papers citing "Improving Time Series Forecasting via Instance-aware Post-hoc Revision"

4 / 4 papers shown
Title
Rethinking Channel Dependence for Multivariate Time Series Forecasting:
  Learning from Leading Indicators
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators
Lifan Zhao
Yanyan Shen
AI4TS
AIFin
48
14
0
31 Jan 2024
Neural basis expansion analysis with exogenous variables: Forecasting
  electricity prices with NBEATSx
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx
Kin G. Olivares
Cristian Challu
Grzegorz Marcjasz
R. Weron
A. Dubrawski
AI4TS
41
138
0
12 Apr 2021
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series
  Forecasting
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
Bryan Lim
Sercan O. Arik
Nicolas Loeff
Tomas Pfister
AI4TS
78
1,427
0
19 Dec 2019
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
314
129,831
0
12 Jun 2017
1