François-Xavier Aubet

14 papers A* 1A 2Journal 11

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