Time Series

Forecasting is a critical task in decision-making across numerous domains. While historical numerical data provide a start, they fail …

International Conference on Machine Learning (ICML), 2025.

Forecasting is a critical task in decision making across various domains. While numerical data provides a foundation, it often lacks …

Workshop at the Neural Information Processing Systems (NeurIPS), 2024.

Forecasting is a critical task in decision making across various domains. While numerical data provides a foundation, it often lacks …

Foundation Models for Time Series, 2024.

Forecasting is a critical task in decision making across various domains. While numerical data provides a foundation, it often lacks …

Montreal AI Symposium (MAIS), 2024.

We introduce a new model for multivariate probabilistic time series prediction, designed to flexibly address a range of tasks including …

Montreal AI Symposium (MAIS), 2024.

We introduce a new model for multivariate probabilistic time series prediction, designed to flexibly address a range of tasks including …

International Conference of Learning Representations (ICLR), 2024.

In this work, we present Lag-Llama, a general-purpose probabilistic time series forecasting model trained on a large collection of time …

Workshop at the Neural Information Processing Systems (NeurIPS), 2023.

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.

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.

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.