NON-adaptive policies for 20 questions target localization. - Ehsan Variani; Kamel Lahouel; Avner Bar-Hen; Bruno Jedynak (ISIT, 2015)

Non-Adaptative Policies for 20 Questions Target Localization. - Ehsan Variani; Kamel Lahouel; Avner Bar-Hen; Bruno Jedynak (CoRR, 2015)

Sampled Connectionist Temporal Classification. - Ehsan Variani; Tom Bagby; Kamel Lahouel; Erik McDermott; Michiel Bacchiani (ICASSP, 2018)

Learning Nonparametric Ordinary differential Equations: Application to Sparse and Noisy Data. - Kamel Lahouel; Michael Wells; David Lovitz; Victor Rielly; Ethan Lew; Bruno Jedynak (CoRR, 2022)

Learning High-Dimensional Nonparametric Differential Equations via Multivariate Occupation Kernel Functions. - Victor Rielly; Kamel Lahouel; Ethan Lew; Michael Wells; Vicky Haney; Bruno Jedynak (CoRR, 2023)

The Stochastic Occupation Kernel Method for System Identification. - Michael Wells; Kamel Lahouel; Bruno Jedynak (CoRR, 2024)

Learning nonparametric ordinary differential equations from noisy data. - Kamel Lahouel; Michael Wells; Victor Rielly; Ethan Lew; David Lovitz; Bruno M. Jedynak (J. Comput. Phys., 2024)

MOCK: an Algorithm for Learning Nonparametric Differential Equations via Multivariate Occupation Kernel Functions. - Victor Rielly; Kamel Lahouel; Ethan Lew; Nicholas Fisher; Vicky Haney; Michael Wells; Bruno M. Jedynak (Trans. Mach. Learn. Res., 2025)

ROCK: A variational formulation for occupation kernel methods in Reproducing Kernel Hilbert Spaces. - Victor Rielly; Kamel Lahouel; Chau Nguyen; Bruno Jedynak (CoRR, 2025)

The Stochastic Occupation Kernel (SOCK) Method for Learning Stochastic Differential Equations. - Michael Wells; Kamel Lahouel; Bruno Jedynak (CoRR, 2025)