ServiceNow Research

Time Series

Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
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 …
International Conference on Machine Learning (ICML),  2023.
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TACTiS: Transformer-attentional copulas for time series
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. …
Montreal AI Symposium (MAIS),  2022.
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TACTiS: Transformer-Attentional Copulas for Time Series
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. …
International Conference on Machine Learning (ICML),  2022.
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Deconfounding Dynamic Treatment Regimes
Deconfounding Dynamic Treatment Regimes
Counterfactual prediction under sequences of actions is a fundamental problem in decision-making. Existing methods in causal inference …
SSC,  2022.
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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 …
International Conference on Learning Representations (ICLR),  2020.
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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 …
International Conference on Learning Representations (ICLR),  2019.
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