Nathaël Da Costa

According to our database, Nathaël Da Costa authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

Muon is Not That Special: Random or Inverted Spectra Work Just as Well.

Zakhar Shumaylov, Nathaël Da Costa, Peter Zaika, Bálint Mucsányi, Alex Massucco, Yoav Gelberg, Carola-Bibiane Schönlieb, Yarin Gal, Philipp Hennig

CoRR, May, 2026

2025

Closed-Form Last Layer Optimization.

Alexandre Galashov, Nathaël Da Costa, Liyuan Xu, Philipp Hennig, Arthur Gretton

CoRR, October, 2025

Rethinking Approximate Gaussian Inference in Classification.

Bálint Mucsányi, Nathaël Da Costa, Philipp Hennig

CoRR, February, 2025

Invariant Kernels on Riemannian Symmetric Spaces: A Harmonic-Analytic Approach.

Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said

SIAM J. Math. Data Sci., 2025

Geometric Gaussian Approximations of Probability Distributions.

Nathaël Da Costa, Bálint Mucsányi, Philipp Hennig

Proceedings of the Geometric Science of Information - 7th International Conference, 2025

2024

Differential Geometry with Extreme Eigenvalues in the Positive Semidefinite Cone.

Cyrus Mostajeran, Nathaël Da Costa, Graham W. Van Goffrier, Rodolphe Sepulchre

SIAM J. Matrix Anal. Appl., 2024

Geometric Learning with Positively Decomposable Kernels.

Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said

J. Mach. Learn. Res., 2024

Geometric statistics with subspace structure preservation for SPD matrices.

Cyrus Mostajeran, Nathaël Da Costa, Graham W. Van Goffrier, Rodolphe Sepulchre

CoRR, 2024

2023

Sample Path Regularity of Gaussian Processes from the Covariance Kernel.

Nathaël Da Costa, Marvin Pförtner, Lancelot Da Costa, Philipp Hennig

CoRR, 2023

The Gaussian Kernel on the Circle and Spaces that Admit Isometric Embeddings of the Circle.

Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega

Proceedings of the Geometric Science of Information - 6th International Conference, 2023