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Unified Training of Universal Time Series Forecasting Transformers

Unified Training of Universal Time Series Forecasting Transformers

4 February 2024
Gerald Woo
Chenghao Liu
Akshat Kumar
Caiming Xiong
Silvio Savarese
Doyen Sahoo
    AI4TS
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Papers citing "Unified Training of Universal Time Series Forecasting Transformers"

9 / 9 papers shown
Title
Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts
Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts
Wenfa Wu
Guanyu Zhang
Zheng Tan
Yi Wang
Hongsheng Qi
AI4TS
17
0
0
02 May 2025
How Effective are Large Time Series Models in Hydrology? A Study on Water Level Forecasting in Everglades
How Effective are Large Time Series Models in Hydrology? A Study on Water Level Forecasting in Everglades
Rahuul Rangaraj
Jimeng Shi
Azam Shirali
Rajendra Paudel
Yanzhao Wu
Giri Narasimhan
16
0
0
02 May 2025
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation
Robert Leppich
Michael Stenger
Daniel Grillmeyer
Vanessa Borst
Samuel Kounev
AI4TS
AI4CE
42
48
0
26 Apr 2025
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
Samuel Dooley
Gurnoor Singh Khurana
Chirag Mohapatra
Siddartha Naidu
Colin White
AI4TS
57
56
0
03 Nov 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress,
  and Prospects
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
Kexin Zhang
Qingsong Wen
Chaoli Zhang
Rongyao Cai
Ming Jin
...
James Y. Zhang
Y. Liang
Guansong Pang
Dongjin Song
Shirui Pan
AI4TS
77
33
0
16 Jun 2023
CoST: Contrastive Learning of Disentangled Seasonal-Trend
  Representations for Time Series Forecasting
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
Gerald Woo
Chenghao Liu
Doyen Sahoo
Akshat Kumar
Steven C. H. Hoi
AI4TS
93
357
0
03 Feb 2022
Learning Quantile Functions without Quantile Crossing for
  Distribution-free Time Series Forecasting
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting
Youngsuk Park
Danielle C. Maddix
Franccois-Xavier Aubet
Kelvin K. Kan
Jan Gasthaus
Yuyang Wang
UQCV
AI4TS
56
31
0
12 Nov 2021
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and
  Benchmarking
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
Soukayna Mouatadid
Paulo Orenstein
Genevieve Flaspohler
M. Oprescu
J. Cohen
...
Sean Knight
Maria Geogdzhayeva
Sam Levang
E. Fraenkel
Lester W. Mackey
AI4TS
AI4Cl
69
5
0
21 Sep 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
215
3,054
0
23 Jan 2020
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