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Context is Key: A Benchmark for Forecasting with Essential Textual Information
Forecasting is a critical task in decision-making across numerous domains. While historical numerical data provide a start, they fail …
Andrew Williams
,
Arjun Ashok
,
Étienne Marcotte
,
Valentina Zantedeschi
,
Jithendaraa Subramanian
,
Roland Riachi
,
James Requeima
,
Alexandre Lacoste
,
Irina Rish
,
Nicolas Chapados
,
Alexandre Drouin
International Conference on Machine Learning (ICML), 2025.
PDF
Citation
Code
Vidéo
Context is Key: A Benchmark for Forecasting with Essential Textual Information
Forecasting is a critical task in decision making across various domains. While numerical data provides a foundation, it often lacks …
Andrew Williams
,
Arjun Ashok
,
Étienne Marcotte
,
Valentina Zantedeschi
,
Jithendaraa Subramanian
,
Roland Riachi
,
James Requeima
,
Alexandre Lacoste
,
Irina Rish
,
Nicolas Chapados
,
Alexandre Drouin
Workshop at the Neural Information Processing Systems (NeurIPS), 2024.
PDF
Citation
Code
Vidéo
Context is Key: A Benchmark for Forecasting with Essential Textual Information
Forecasting is a critical task in decision making across various domains. While numerical data provides a foundation, it often lacks …
Andrew Williams
,
Arjun Ashok
,
Étienne Marcotte
,
Valentina Zantedeschi
,
Jithendaraa Subramanian
,
Roland Riachi
,
James Requeima
,
Alexandre Lacoste
,
Irina Rish
,
Nicolas Chapados
,
Alexandre Drouin
Foundation Models for Time Series, 2024.
PDF
Citation
Code
Context is Key: A Benchmark for Forecasting with Essential Textual Information
Forecasting is a critical task in decision making across various domains. While numerical data provides a foundation, it often lacks …
Andrew Williams
,
Arjun Ashok
,
Étienne Marcotte
,
Valentina Zantedeschi
,
Jithendaraa Subramanian
,
Roland Riachi
,
James Requeima
,
Alexandre Lacoste
,
Irina Rish
,
Nicolas Chapados
,
Alexandre Drouin
Montreal AI Symposium (MAIS), 2024.
PDF
Citation
Code
TACTIS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series
We introduce a new model for multivariate probabilistic time series prediction, designed to flexibly address a range of tasks including …
Arjun Ashok
,
Étienne Marcotte
,
Valentina Zantedeschi
,
Nicolas Chapados
,
Alexandre Drouin
Montreal AI Symposium (MAIS), 2024.
PDF
Citation
Code
Vidéo
TACTIS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series
We introduce a new model for multivariate probabilistic time series prediction, designed to flexibly address a range of tasks including …
Arjun Ashok
,
Étienne Marcotte
,
Valentina Zantedeschi
,
Nicolas Chapados
,
Alexandre Drouin
International Conference of Learning Representations (ICLR), 2024.
PDF
Citation
Code
Vidéo
Lag-Llama: A Foundation Model for Probabilistic Time Series Forecasting
In this work, we present Lag-Llama, a general-purpose probabilistic time series forecasting model trained on a large collection of time …
Kashif Rasul
,
Arjun Ashok
,
Marin Bilos
,
Andrew Robert Williams
,
Arian Khorasani
,
George Adamopoulos
,
Rishika Bhagwatkar
,
Hena Ghonia
,
Nadhir Hassen
,
Anderson Schneider
,
Sahil Garg
,
Alexandre Drouin
,
Nicolas Chapados
,
Yuriy Nevmyvaka
,
Irina Rish
Workshop at the Neural Information Processing Systems (NeurIPS), 2023.
PDF
Citation
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Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
Multivariate probabilistic time series forecasts are commonly evaluated via proper scoring rules, i.e., functions that are minimal in …
Étienne Marcotte
,
Valentina Zantedeschi
,
Alexandre Drouin
,
Nicolas Chapados
International Conference on Machine Learning (ICML), 2023.
PDF
Citation
Code
Diapositives
Vidéo
TACTiS: Transformer-Attentional Copulas for Time Series
The estimation of time-varying quantities is a fundamental component of decision making in fields such as healthcare and finance. …
Alexandre Drouin
,
Étienne Marcotte
,
Nicolas Chapados
Montreal AI Symposium (MAIS), 2022.
PDF
Citation
Code
Model card
Diapositives
Vidéo
TACTiS: Transformer-Attentional Copulas for Time Series
The estimation of time-varying quantities is a fundamental component of decision making in fields such as healthcare and finance. …
Alexandre Drouin
,
Étienne Marcotte
,
Nicolas Chapados
International Conference on Machine Learning (ICML), 2022.
PDF
Citation
Code
Model card
Diapositives
Vidéo
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