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Zero-Shot Time Series Forecasting with Covariates via In-Context Learning

Zero-Shot Time Series Forecasting with Covariates via In-Context Learning

3 June 2025
Andreas Auer
Raghul Parthipan
Pedro Mercado
Abdul Fatir Ansari
Lorenzo Stella
Bernie Wang
Michael Bohlke-Schneider
Syama Sundar Rangapuram
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Zero-Shot Time Series Forecasting with Covariates via In-Context Learning"

5 / 5 papers shown
Are Time-Indexed Foundation Models the Future of Time Series Imputation?
Are Time-Indexed Foundation Models the Future of Time Series Imputation?
E. L. Naour
Tahar Nabil
Adrien Petralia
G. Agoua
AI4TSAI4CE
124
0
0
08 Nov 2025
Pre-trained Forecasting Models: Strong Zero-Shot Feature Extractors for Time Series Classification
Pre-trained Forecasting Models: Strong Zero-Shot Feature Extractors for Time Series Classification
Andreas Auer
D. Klotz
Sebastinan Böck
Sepp Hochreiter
AI4TS
141
1
0
30 Oct 2025
Foundation Model Forecasts: Form and Function
Foundation Model Forecasts: Form and Function
Alvaro Perez-Diaz
James C. Loach
Danielle E. Toutoungi
Lee Middleton
AI4TS
146
0
0
22 Oct 2025
Chronos-2: From Univariate to Universal Forecasting
Chronos-2: From Univariate to Universal Forecasting
Abdul Fatir Ansari
Oleksandr Shchur
Jaris Küken
Andreas Auer
Boran Han
...
Hao Wang
Huzefa Rangwala
George Karypis
Yuyang Wang
Michael Bohlke-Schneider
AI4TSBDL
236
10
0
17 Oct 2025
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
Andreas Auer
Patrick Podest
Daniel Klotz
Sebastian Böck
Günter Klambauer
Sepp Hochreiter
AI4TS
240
26
0
29 May 2025
1