NETPerfTrace: Predicting Internet Path Dynamics and Performance with Machine Learning. - Sarah Wassermann; Pedro Casas; Thibaut Cuvelier; Benoit Donnet (Big-DAMA@SIGCOMM, 2017)

ADAM & RAL: Adaptive Memory Learning and Reinforcement Active Learning for Network Monitoring. - Sarah Wassermann; Thibaut Cuvelier; Pavol Mulinka; Pedro Casas (CNSM, 2019)

RAL: reinforcement active learning for network traffic monitoring and analysis. - Sarah Wassermann; Thibaut Cuvelier; Pedro Casas (SIGCOMM Posters and Demos, 2020)

Asymptotically Optimal Strategies For Combinatorial Semi-Bandits in Polynomial Time. - Thibaut Cuvelier; Richard Combes; Eric Gourdin (ALT, 2021)

Embedding Reservoirs in Industrial Models to Exploit their Flexibility. - Thibaut Cuvelier (CoRR, 2021)

Statistically Efficient, Polynomial-Time Algorithms for Combinatorial Semi-Bandits. - Thibaut Cuvelier; Richard Combes; Eric Gourdin (Proc. ACM Meas. Anal. Comput. Syst., 2021)

Adaptive and Reinforcement Learning Approaches for Online Network Monitoring and Analysis. - Sarah Wassermann; Thibaut Cuvelier; Pavol Mulinka; Pedro Casas (IEEE Trans. Netw. Serv. Manag., 2021)