François-Xavier Aubet

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 14

Top Topics

Network Intrusion Detection

Question Answer

Anomaly Detection

Top Venues

ACM Comput. Surv.

Publications

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
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey. ACM Comput. Surv. 55 (6) (2023)
Sigrid Passano Hellan, Huibin Shen, François-Xavier Aubet, David Salinas, Aaron Klein
Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation. CoRR (2023)
Kelvin Kan, François-Xavier Aubet, Tim Januschowski, Youngsuk Park, Konstantinos Benidis, Lars Ruthotto, Jan Gasthaus
Multivariate Quantile Function Forecaster. CoRR (2022)
Christian Bock, François-Xavier Aubet, Jan Gasthaus, Andrey Kan, Ming Chen, Laurent Callot
Online Time Series Anomaly Detection with State Space Gaussian Processes. CoRR (2022)
Youngsuk Park, Danielle C. Maddix, François-Xavier Aubet, Kelvin Kan, Jan Gasthaus, Yuyang Wang
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting. AISTATS (2022)
Kelvin Kan, François-Xavier Aubet, Tim Januschowski, Youngsuk Park, Konstantinos Benidis, Lars Ruthotto, Jan Gasthaus
Multivariate Quantile Function Forecaster. AISTATS (2022)
Chris U. Carmona, François-Xavier Aubet, Valentin Flunkert, Jan Gasthaus
Neural Contextual Anomaly Detection for Time Series. IJCAI (2022)
Chris U. Carmona, François-Xavier Aubet, Valentin Flunkert, Jan Gasthaus
Neural Contextual Anomaly Detection for Time Series. CoRR (2021)
Elena Ehrlich, Laurent Callot, François-Xavier Aubet
Spliced Binned-Pareto Distribution for Robust Modeling of Heavy-tailed Time Series. CoRR (2021)
François-Xavier Aubet, Daniel Zügner, Jan Gasthaus
Monte Carlo EM for Deep Time Series Anomaly Detection. CoRR (2021)
Daniel Zügner, François-Xavier Aubet, Victor Garcia Satorras, Tim Januschowski, Stephan Günnemann, Jan Gasthaus
A Study of Joint Graph Inference and Forecasting. CoRR (2021)
Youngsuk Park, Danielle C. Maddix, François-Xavier Aubet, Kelvin Kan, Jan Gasthaus, Yuyang Wang
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting. CoRR (2021)
Mohammad Irfan Khan, François-Xavier Aubet, Marc-Oliver Pahl, Jérôme Härri
Deep Learning-aided Application Scheduler for Vehicular Safety Communication. CoRR (2019)
François-Xavier Aubet, Dominic Danks, Yuchen Zhu
EQuANt (Enhanced Question Answer Network). CoRR (2019)