Emergence of Sensory Representations Using Prediction in Partially Observable Environments. - Thibaut Kulak; Michaël Garcia Ortiz (ICANN (2), 2018)

Representation Learning in Partially Observable Environments using Sensorimotor Prediction. - Thibaut Kulak; Michaël Garcia Ortiz (CoRR, 2018)

Fourier movement primitives: an approach for learning rhythmic robot skills from demonstrations. - Thibaut Kulak; João Silvério; Sylvain Calinon (Robotics: Science and Systems, 2020)

Active Learning of Bayesian Probabilistic Movement Primitives. - Thibaut Kulak; Hakan Girgin; Jean-Marc Odobez; Sylvain Calinon (IEEE Robotics Autom. Lett., 2021)

A bayesian variational principle for dynamic self organizing maps. - Anthony Fillion; Thibaut Kulak; François Blayo (ESANN, 2022)

A Unified View on Self-Organizing Maps (SOMs) and Stochastic Neighbor Embedding (SNE). - Thibaut Kulak; Anthony Fillion; François Blayo (ICANN (2), 2022)

Combining Social and Intrinsically Motivated Learning for Multitask Robot Skill Acquisition. - Thibaut Kulak; Sylvain Calinon (IEEE Trans. Cogn. Dev. Syst., 2023)