Relative concentration bounds for the kernel matrix spectrum. - Ernesto Araya Valdivia (CoRR, 2018)

Latent distance estimation for random geometric graphs. - Ernesto Araya Valdivia; Yohann de Castro (NeurIPS, 2019)

Random Geometric Graphs on Euclidean Balls. - Ernesto Araya Valdivia (CoRR, 2020)

Kernel spectral learning and inference in random geometric graphs. (Apprentissage spectral des noyaux et inférence des graphes aléatoires géométriques). - Ernesto Araya Valdivia (2020)

Graph Matching via convex relaxation to the simplex. - Ernesto Araya Valdivia; Hemant Tyagi (CoRR, 2023)

Dynamic angular synchronization under smoothness constraints. - Ernesto Araya Valdivia; Mihai Cucuringu; Hemant Tyagi (CoRR, 2024)

Seeded Graph Matching for the Correlated Gaussian Wigner Model via the Projected Power Method. - Ernesto Araya Valdivia; Guillaume Braun; Hemant Tyagi (J. Mach. Learn. Res., 2024)