| Learning nonparametric Volterra kernels with Gaussian processes M Ross, MT Smith, M Álvarez Advances in Neural Information Processing Systems 34, 24099-24110, 2021 | 7 | 2021 |
| Thin and deep Gaussian processes DA de Souza, A Nikitin, ST John, M Ross, MA Álvarez, M Deisenroth, ... Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Nonparametric Gaussian process covariances via multidimensional convolutions TM McDonald, M Ross, MT Smith, MA Álvarez International Conference on Artificial Intelligence and Statistics, 8279-8293, 2023 | 1 | 2023 |
| Shallow and deep nonparametric convolutions for Gaussian processes TM McDonald, M Ross, MT Smith, MA Álvarez arXiv preprint arXiv:2206.08972, 2022 | 1 | 2022 |
| Modelling calibration uncertainty in networks of environmental sensors M Thomas Smith, M Ross, J Ssematimba, PA Alvarado, M Álvarez, ... arXiv preprint arXiv, 2022 | 1* | 2022 |
| Advances in Physics-informed Gaussian Process Regression M Ross University of Manchester, 2024 | | 2024 |
| Learning Energy Conserving Dynamics Efficiently with Hamiltonian Gaussian Processes M Ross, M Heinonen Transactions on Machine Learning Research, 2023 | | 2023 |
| Thin and deep Gaussian processes DA Souza, A Nikitin, S John, M Ross, MA Álvarez, MP Deisenroth, ... NeurIPS, 2023 | | 2023 |
| Thin and deep Gaussian processes DA de Souza¹, A Nikitin, ST John, M Ross, MA Álvarez, MP Deisenroth¹, ... | | |
Mauricio A. ÁlvarezUniversity of ManchesterVerified email at manchester.ac.uk
