Curved Kernel Neural Network for Functions Approximation. - Paul Bourret; Bruno Pelletier (IWANN (2), 2001)

Neural network fields. - Bruno Pelletier (NNSP, 2003)

On fields of nonlinear regression models. - Bruno Pelletier; Robert Frouin (ESANN, 2004)

Approximation by ridge function fields over compact sets. - Bruno Pelletier (J. Approx. Theory, 2004)

Operator Norm Convergence of Spectral Clustering on Level Sets. - Bruno Pelletier; Pierre Pudlo (J. Mach. Learn. Res., 2011)

On the convergence of maximum variance unfolding. - Ery Arias-Castro; Bruno Pelletier (J. Mach. Learn. Res., 2013)

On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm. - Ery Arias-Castro; David Mason; Bruno Pelletier (J. Mach. Learn. Res., 2016)

ERRATA: On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm. - Ery Arias-Castro; David Mason; Bruno Pelletier (J. Mach. Learn. Res., 2016)

Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning. - Ery Arias-Castro; Adel Javanmard; Bruno Pelletier (J. Mach. Learn. Res., 2020)