PHD students:
2021- Pierre Houdouin, co-direction with F. Pascal, (Chaire RTE), Performance certification of advanced decentralized controllers for power system operation using reinforcement learning
2020- Daniel Mastropietro, co-direction with Urtzi Ayesta, Probabilistic exploration for reinforcement learning
2020- Lucca Guardiola, co-direction with F. Pascal (Chaire Givaudan). Generalized stochastic embedding for visualization and dimension reduction
2017- Valeria Goycoechea, co-direction with P. Bermolen, Large deviations for exploration of independent sets on random graphs
2018-2021 Violeta Roizman, cotutelle with Frédéric pascal: Clustering in high- dimension
2016-2021 Emanuel Ferreyra: Stochastic decisions and mean-fields games
2016-2021 Maximiliano Altamirano: Networks of neurons and quasi-stationary measures
2015-2019 Manuel Saenz, Dynamics on random graphs.
2010-2013 : (co-directed with P. Ferrari) S.I. López Ortega Dynamics of stochastic networks and flows: coupling and large deviations.
POST-DOCS
2015-2016 Ioannis Papageorgiou: Existence of quasi-stationary measures
2014-2016 Maria-Clara Fittipaldi: Insensitivity via the Crumps-Jaggers model
2014-2015 Santiago Saglietti: LLN for branching processes with absorption
2016-2021 Maximiliano Altamirano: Networks of neurons and quasi-stationary measures
2015-2019 Manuel Saenz, Dynamics on random graphs.
2010-2013 : (co-directed with P. Ferrari) S.I. López Ortega Dynamics of stochastic networks and flows: coupling and large deviations.
POST-DOCS
2015-2016 Ioannis Papageorgiou: Existence of quasi-stationary measures
2014-2016 Maria-Clara Fittipaldi: Insensitivity via the Crumps-Jaggers model
2014-2015 Santiago Saglietti: LLN for branching processes with absorption