All Eyes on You: Distributed Multi-Dimensional IoT Microservice Anomaly Detection. - Marc-Oliver Pahl; Francois-Xavier Aubet (CNSM, 2018)

Graph-based IoT microservice security. - Marc-Oliver Pahl; Francois-Xavier Aubet; Stefan Liebald (NOMS, 2018)

Deep Learning-aided Resource Orchestration for Vehicular Safety Communication. - Mohammad Irfan Khan; Francois-Xavier Aubet; Marc-Oliver Pahl; Jérôme Härri (Wireless Days, 2019)

Deep Learning-aided Application Scheduler for Vehicular Safety Communication. - Mohammad Irfan Khan; François-Xavier Aubet; Marc-Oliver Pahl; Jérôme Härri (CoRR, 2019)

EQuANt (Enhanced Question Answer Network). - François-Xavier Aubet; Dominic Danks; Yuchen Zhu (CoRR, 2019)

Spliced Binned-Pareto Distribution for Robust Modeling of Heavy-tailed Time Series. - Elena Ehrlich; Laurent Callot; François-Xavier Aubet (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)

Monte Carlo EM for Deep Time Series Anomaly Detection. - François-Xavier Aubet; Daniel Zügner; Jan Gasthaus (CoRR, 2021)

Multivariate Quantile Function Forecaster. - Kelvin Kan; François-Xavier Aubet; Tim Januschowski; Youngsuk Park; Konstantinos Benidis; Lars Ruthotto; Jan Gasthaus (AISTATS, 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 001 (AISTATS, 2022)

Neural Contextual Anomaly Detection for Time Series. - Chris U. Carmona; François-Xavier Aubet; Valentin Flunkert; Jan Gasthaus (IJCAI, 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)

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)

Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation. - Sigrid Passano Hellan; Huibin Shen; François-Xavier Aubet; David Salinas; Aaron Klein (CoRR, 2023)

Deep Learning for Time Series Forecasting: Tutorial and Literature Survey. - Konstantinos Benidis; Syama Sundar Rangapuram; Valentin Flunkert; Yuyang Wang 001; Danielle C. Maddix; Ali Caner Türkmen; Jan Gasthaus; Michael Bohlke-Schneider; David Salinas; Lorenzo Stella; François-Xavier Aubet; Laurent Callot; et al. (ACM Comput. Surv., 2023)