Online sequential Monte Carlo smoother for partially observed diffusion processes. - Pierre Gloaguen; Marie-Pierre Étienne; Sylvain Le Corff (EURASIP J. Adv. Signal Process., 2018)

Auto-encoding GPS data to reveal individual and collective behaviour. - Saint-Clair Chabert-Liddell; Nicolas Bez; Pierre Gloaguen; Sophie Donnet; Stéphanie Mahévas (CoRR, 2023)

Backward Importance Sampling for Online Estimation of State Space Models. - Alice Martin 001; Marie-Pierre Étienne; Pierre Gloaguen; Sylvain Le Corff; Jimmy Olsson (J. Comput. Graph. Stat., 2023)

Scalable clustering of segmented trajectories within a continuous time framework: application to maritime traffic data. - Pierre Gloaguen; Laetitia Chapel; Chloé Friguet; Romain Tavenard (Mach. Learn., 2023)

HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural Network for Efficient Drug Cardiosafety Assessment. - Inass Soukarieh; Gerhard Hessler; Hervé Minoux; Marcel Mohr; K. Friedemann Schmidt; Jan Wenzel; Pierre Barbillon; Hugo Gangloff; Pierre Gloaguen (CoRR, 2024)

Additive smoothing error in backward variational inference for general state-space models. - Mathis Chagneux; Elisabeth Gassiat; Pierre Gloaguen; Sylvain Le Corff (J. Mach. Learn. Res., 2024)