MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation

21 July 2022

Papers citing "MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation"

6 / 6 papers shown

Title
Retrieval-Augmented Diffusion Models for Time Series Forecasting Jingwei Liu Ling Yang Hongyan Li Shenda Hong DiffM AI4TS 18 4 0 24 Oct 2024
RATSF: Empowering Customer Service Volume Management through Retrieval-Augmented Time-Series Forecasting Tianfeng Wang Gaojie Cui AI4TS 39 0 0 07 Mar 2024
REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning Maxwell A. Xu Alexander Moreno Hui Wei Benjamin M. Marlin James M. Rehg AI4TS SSL 18 11 0 01 Nov 2023
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting Sitan Yang Malcolm Wolff S. Ramasubramanian Vincent Quenneville-Belair Ronak Metha Michael W. Mahoney AI4TS AI4CE 10 1 0 07 Jul 2023
Deep Learning based Forecasting: a case study from the online fashion industry Manuel Kunz Stefan Birr Mones Raslan L. Ma Zhuguo Li ... Armin Kekić Michael Narodovitch Kashif Rasul Julian Sieber Tim Januschowski 22 15 0 23 May 2023
Deep Inventory Management Dhruv Madeka Kari Torkkola Carson Eisenach Anna Luo Dean Phillips Foster Sham M. Kakade BDL 30 15 0 06 Oct 2022