Kamel Lahouel

According to our database, Kamel Lahouel authored at least 10 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

The Stochastic Occupation Kernel (SOCK) Method for Learning Stochastic Differential Equations.

Michael Wells, Kamel Lahouel, Bruno Jedynak

CoRR, May, 2025

ROCK: A variational formulation for occupation kernel methods in Reproducing Kernel Hilbert Spaces.

Victor Rielly, Kamel Lahouel, Chau Nguyen, Bruno Jedynak

CoRR, March, 2025

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

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

The Stochastic Occupation Kernel Method for System Identification.

Michael Wells, Kamel Lahouel, Bruno Jedynak

CoRR, 2024

2023

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

2022

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

2018

Sampled Connectionist Temporal Classification.

Ehsan Variani, Tom Bagby, Kamel Lahouel, Erik McDermott, Michiel Bacchiani

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2015

Non-Adaptative Policies for 20 Questions Target Localization.

Ehsan Variani, Kamel Lahouel, Avner Bar-Hen, Bruno Jedynak

CoRR, 2015

NON-adaptive policies for 20 questions target localization.

Ehsan Variani, Kamel Lahouel, Avner Bar-Hen, Bruno Jedynak

Proceedings of the IEEE International Symposium on Information Theory, 2015