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François-Xavier Aubet
François-Xavier Aubet
Google DeepMind
Verified email at deepmind.com
Title
Cited by
Cited by
Year
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
4002023
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
K Benidis, SS Rangapuram, V Flunkert, Y Wang, D Maddix, C Turkmen, ...
ACM Computing Surveys (CSUR), 2020
219*2020
All eyes on you: Distributed Multi-Dimensional IoT microservice anomaly detection
MO Pahl, FX Aubet
2018 14th International Conference on Network and Service Management (CNSM …, 2018
1602018
Neural Contextual Anomaly Detection for Time Series
CU Carmona*, FX Aubet*, V Flunkert, J Gasthaus
IJCAI 2022, 2021
582021
Graph-based IoT microservice security
MO Pahl, FX Aubet, S Liebald
NOMS 2018-2018 IEEE/IFIP Network Operations and Management Symposium, 1-3, 2018
462018
DS2OS traffic traces
FX Aubet, MO Pahl
38*2018
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting
Y Park, D Maddix, FX Aubet, K Kan, J Gasthaus, Y Wang
AISTATS 2022, 2021
312021
Multivariate Quantile Function Forecaster
K Kan, FX Aubet, T Januschowski, Y Park, K Benidis, L Ruthotto, ...
AISTATS 2022, 2022
252022
Deep learning-aided resource orchestration for vehicular safety communication
MI Khan, FX Aubet, MO Pahl, J Härri
2019 Wireless Days (WD), 1-8, 2019
21*2019
A study of joint graph inference and forecasting
D Zügner, FX Aubet, VG Satorras, T Januschowski, S Günnemann, ...
ICML 2021 Time Series Workshop, 2021
122021
Machine learning-based adaptive anomaly detection in smart spaces
FX Aubet
Thesis, 2018
102018
Online time series anomaly detection with state space gaussian processes
C Bock, FX Aubet, J Gasthaus, A Kan, M Chen, L Callot
arXiv preprint arXiv:2201.06763, 2022
72022
Spliced Binned-Pareto Distribution for Robust Modeling of Heavy-tailed Time Series
E Ehrlich, L Callot, FX Aubet
ICLR 2021 RobustML Workshop, 2021
72021
Diverse counterfactual explanations for anomaly detection in time series
D Sulem, M Donini, MB Zafar, FX Aubet, J Gasthaus, T Januschowski, ...
arXiv preprint arXiv:2203.11103, 2022
62022
Monte Carlo EM for Deep Time Series Anomaly Detection
FX Aubet, D Zügner, J Gasthaus
ICML 2021 Time Series Workshop, 2021
62021
Ds2Os Traffic Traces IoT Traffic Traces Gathered in a The Ds2Os IoT Environment
MO Pahl, FX Aubet
Int J Info Sec (IJIS), 2018
52018
Graph-based anomaly detection for iot microservices
FX Aubet, MO Pahl, S Liebald, MR Norouzian
Measurements 120 (140), 160, 2018
52018
Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation
S Passano Hellan, H Shen, FX Aubet, D Salinas, A Klein
arXiv e-prints, arXiv: 2306.16916, 2023
3*2023
The science behind nfl next gen stats’ new passing metric
FX Aubet, E Ehrlich
Aug, 2022
22022
Equant (enhanced question answer network)
FX Aubet, D Danks, Y Zhu
arXiv preprint arXiv:1907.00708, 2019
12019
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