| Finite-dimensional Gaussian approximation with linear inequality constraints AF López-Lopera, F Bachoc, N Durrande, O Roustant SIAM/ASA Journal on Uncertainty Quantification 6 (3), 1224-1255, 2018 | 86 | 2018 |
| Maximum likelihood estimation for Gaussian processes under inequality constraints F Bachoc, A Lagnoux, AF López-Lopera | 33 | 2019 |
| Multioutput Gaussian processes with functional data: A study on coastal flood hazard assessment AF López-Lopera, D Idier, J Rohmer, F Bachoc Reliability Engineering & System Safety 218, 108139, 2022 | 22 | 2022 |
| Gaussian process modulated Cox processes under linear inequality constraints AF López-Lopera, ST John, N Durrande The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 17 | 2019 |
| Physically-inspired Gaussian process models for post-transcriptional regulation in Drosophila AF López-Lopera, N Durrande, MA Alvarez IEEE/ACM transactions on computational biology and bioinformatics 18 (2 …, 2019 | 14 | 2019 |
| A user-oriented local coastal flooding early warning system using metamodelling techniques D Idier, A Aurouet, F Bachoc, A Baills, J Betancourt, F Gamboa, T Klein, ... Journal of Marine Science and Engineering 9 (11), 1191, 2021 | 11 | 2021 |
| Sequential construction and dimension reduction of Gaussian processes under inequality constraints F Bachoc, AF López-Lopera, O Roustant SIAM Journal on Mathematics of Data Science 4 (2), 772-800, 2022 | 10 | 2022 |
| Multi-fidelity Gaussian process model for CFD and wind tunnel data fusion RC Arenzana, AF López-Lopera, S Mouton, N Bartoli, T Lefebvre AeroBest 2021, 2021 | 9 | 2021 |
| Approximating Gaussian process emulators with linear inequality constraints and noisy observations via MC and MCMC AF López-Lopera, F Bachoc, N Durrande, J Rohmer, D Idier, O Roustant Monte Carlo and Quasi-Monte Carlo Methods: MCQMC 2018, Rennes, France, July …, 2020 | 9 | 2020 |
| lineqGPR: Gaussian process regression models with linear inequality constraints AF López-Lopera R package version 0.0 3, 2018 | 8 | 2018 |
| Gaussian process modelling under inequality constraints AFL Lopera Université de Lyon, 2019 | 7 | 2019 |
| Switched latent force models for reverse-engineering transcriptional regulation in gene expression data AF López-Lopera, MA Alvarez IEEE/ACM Transactions on Computational Biology and Bioinformatics 16 (1 …, 2017 | 5 | 2017 |
| Sparse linear models applied to power quality disturbance classification AF López-Lopera, MA Álvarez, ÁÁ Orozco Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2017 | 5 | 2017 |
| Gaussian processes for slice-based super-resolution MR images HDV Cardona, AF López-Lopera, ÁA Orozco, MA Álvarez, JAH Tamames, ... Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las …, 2015 | 5 | 2015 |
| lineqGPR: Gaussian Process Regression Models with Linear Inequality Constraints, 2018 AF López-Lopera R package version 0.0 3, 0 | 5 | |
| High-dimensional additive Gaussian processes under monotonicity constraints A López-Lopera, F Bachoc, O Roustant Advances in Neural Information Processing Systems 35, 8041-8053, 2022 | 4 | 2022 |
| Gaussian process modelling under inequality constraints AF Lopez Lopera Lyon, 2019 | 4 | 2019 |
| Data fusion with multi-fidelity Gaussian processes for aerodynamic experimental and numerical databases AF López-Lopera, N Bartoli, T Lefebvre, S Mouton SIAM Conference on Computational Science and Engineering (CSE), 2021 | 3 | 2021 |
| Comparison of Preprocessing Methods for Diffusion Tensor Estimation in Brain Imaging AF López-Lopera, HD Vargas Cardona, G Daza-Santacoloma, ... Image, Signal Processing and Artificial Vision (STSIVA), 2014 XIX Symposium …, 2014 | 2* | 2014 |
| Asymptotic analysis for covariance parameter estimation of Gaussian processes with functional inputs L Reding, AF López-Lopera, F Bachoc arXiv preprint arXiv:2404.17222, 2024 | | 2024 |
François BachocAssistant professor (tenured), Toulouse Mathematics Institute在 math.univ-toulouse.fr 的电子邮件经过验证
