Francois-Xavier Aubet

According to our database, Francois-Xavier Aubet authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Deep Learning for Time Series Forecasting: Tutorial and Literature Survey.

Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Yuyang Wang, Danielle C. Maddix, Ali Caner Türkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, François-Xavier Aubet, Laurent Callot, Tim Januschowski

ACM Comput. Surv., 2023

Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation.

Sigrid Passano Hellan, Huibin Shen, François-Xavier Aubet, David Salinas, Aaron Klein

CoRR, 2023

2022

Diverse Counterfactual Explanations for Anomaly Detection in Time Series.

Déborah Sulem, Michele Donini, Muhammad Bilal Zafar, Francois-Xavier Aubet, Jan Gasthaus, Tim Januschowski, Sanjiv Das, Krishnaram Kenthapadi, Cédric Archambeau

CoRR, 2022

Online Time Series Anomaly Detection with State Space Gaussian Processes.

Christian Bock, François-Xavier Aubet, Jan Gasthaus, Andrey Kan, Ming Chen, Laurent Callot

CoRR, 2022

Neural Contextual Anomaly Detection for Time Series.

Chris U. Carmona, François-Xavier Aubet, Valentin Flunkert, Jan Gasthaus

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting.

Youngsuk Park, Danielle C. Maddix, François-Xavier Aubet, Kelvin Kan, Jan Gasthaus, Yuyang Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Multivariate Quantile Function Forecaster.

Kelvin Kan, François-Xavier Aubet, Tim Januschowski, Youngsuk Park, Konstantinos Benidis, Lars Ruthotto, Jan Gasthaus

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Monte Carlo EM for Deep Time Series Anomaly Detection.

François-Xavier Aubet, Daniel Zügner, Jan Gasthaus

CoRR, 2021

A Study of Joint Graph Inference and Forecasting.

Daniel Zügner, François-Xavier Aubet, Victor Garcia Satorras, Tim Januschowski, Stephan Günnemann, Jan Gasthaus

CoRR, 2021

Spliced Binned-Pareto Distribution for Robust Modeling of Heavy-tailed Time Series.

Elena Ehrlich, Laurent Callot, François-Xavier Aubet

CoRR, 2021

2019

EQuANt (Enhanced Question Answer Network).

François-Xavier Aubet, Dominic Danks, Yuchen Zhu

CoRR, 2019

Deep Learning-aided Application Scheduler for Vehicular Safety Communication.

Mohammad Irfan Khan, François-Xavier Aubet, Marc-Oliver Pahl, Jérôme Härri

CoRR, 2019

Deep Learning-aided Resource Orchestration for Vehicular Safety Communication.

Mohammad Irfan Khan, Francois-Xavier Aubet, Marc-Oliver Pahl, Jérôme Härri

Proceedings of the 2019 Wireless Days, 2019

2018

Graph-based IoT microservice security.

Marc-Oliver Pahl, Francois-Xavier Aubet, Stefan Liebald

Proceedings of the 2018 IEEE/IFIP Network Operations and Management Symposium, 2018

All Eyes on You: Distributed Multi-Dimensional IoT Microservice Anomaly Detection.

Marc-Oliver Pahl, Francois-Xavier Aubet

Proceedings of the 14th International Conference on Network and Service Management, 2018