Search Results for author: Francois-Xavier Aubet

Found 2 papers, 1 papers with code

Diverse Counterfactual Explanations for Anomaly Detection in Time Series

no code implementations • 21 Mar 2022 • Deborah Sulem, Michele Donini, Muhammad Bilal Zafar, Francois-Xavier Aubet, Jan Gasthaus, Tim Januschowski, Sanjiv Das, Krishnaram Kenthapadi, Cedric Archambeau

In this work we propose a model-agnostic algorithm that generates counterfactual ensemble explanations for time series anomaly detection models.

Anomaly Detection counterfactual +2

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Deep Learning for Time Series Forecasting: Tutorial and Literature Survey

1 code implementation • 21 Apr 2020 • Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Yuyang Wang, Danielle Maddix, Caner Turkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, Francois-Xavier Aubet, Laurent Callot, Tim Januschowski

Deep learning based forecasting methods have become the methods of choice in many applications of time series prediction or forecasting often outperforming other approaches.

BIG-bench Machine Learning Time Series +2

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