The Gaussian kernel on the circle and spaces that admit isometric embeddings of the circle N Da Costa, C Mostajeran, JP Ortega International Conference on Geometric Science of Information, 426-435, 2023 | 4 | 2023 |
Differential geometry with extreme eigenvalues in the positive semidefinite cone C Mostajeran, N Da Costa, G Van Goffrier, R Sepulchre SIAM Journal on Matrix Analysis and Applications 45 (2), 1089-1113, 2024 | 3 | 2024 |
Invariant kernels on Riemannian symmetric spaces: a harmonic-analytic approach N Da Costa, C Mostajeran, JP Ortega, S Said arXiv preprint arXiv:2310.19270, 2023 | 3 | 2023 |
Sample Path Regularity of Gaussian Processes from the Covariance Kernel N Da Costa, M Pförtner, L Da Costa, P Hennig arXiv preprint arXiv:2312.14886, 2023 | 2 | 2023 |
A theory of generalised coordinates for stochastic differential equations L Da Costa, N Da Costa, C Heins, J Medrano, GA Pavliotis, T Parr, ... arXiv preprint arXiv:2409.15532, 2024 | | 2024 |
Geometric statistics with subspace structure preservation for SPD matrices C Mostajeran, N Da Costa, G Van Goffrier, R Sepulchre IFAC-PapersOnLine 58 (17), 398-403, 2024 | | 2024 |
Geometric Learning with Positively Decomposable Kernels N Da Costa, C Mostajeran, JP Ortega, S Said Journal of Machine Learning Research 25 (326), 1-42, 2024 | | 2024 |