About
People
Publications
Open Source
Demos
Events
Blog
Careers
Contact
English
English
Français
ServiceNow
ServiceNow Research
Tags
Time Series
ServiceNow Research
Time Series
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
Cite
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
Cite
Model Card
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
Cite
Code
Model Card
Deconfounding Dynamic Treatment Regimes
Counterfactual prediction under sequences of actions is a fundamental problem in decision-making. Existing methods in causal inference …
David Berger
,
Alexandre Drouin
,
Alexandre Lacoste
,
Laurent Charlin
SSC, 2022.
Cite
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
We focus on solving the univariate times series point forecasting problem using deep learning. We propose a deep neural architecture …
Boris N. Oreshkin
,
Dmitri Carpov
,
Nicolas Chapados
,
Yoshua Bengio
International Conference on Learning Representations (ICLR), 2020.
PDF
Cite
Code
Meta-Learning Framework with Applications to Zero-Shot Time Series Forecasting
Can meta-learning discover generic ways of processing time series (TS) from a diverse dataset so as to greatly improve generalization …
Boris N. Oreshkin
,
Dmitri Carpov
,
Nicolas Chapados
,
Yoshua Bengio
International Conference on Learning Representations (ICLR), 2019.
PDF
Cite
Cite
×