Andrés LOPEZ LOPERA
Présentation
Publications
Publications
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High-dimensional additive Gaussian processes under monotonicity constraintsAdvances in Neural Information Processing Systems, Nov 2022, New Orleans, United States |
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Un système local de prévision et alerte des submersions côtières centré sur les besoins des utilisateurs et utilisant des techniques de métamodélisationJournées nationales Génie Côtier - Génie Civil, Oct 2022, Chatou, France. ⟨10.5150/jngcgc.2022.088⟩ |
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Modeling complex mechanical computer codes with functional input via Gaussian processesThe 43th Ibero-Latin American Congress on Computational Methods in Engineering (CILAMCE), Nov 2022, Foz do Iguaçu, Brazil |
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Multi-fidelity Gaussian Process model for CFD and wind tunnel data fusionAeroBest 2021, Jul 2021, Lisbonne, Portugal |
Data fusion with multi-fidelity Gaussian processes for aerodynamic experimental and numerical databasesSIAM Conference on Computational Science and Engineering (CSE), Mar 2021, Fort Worth, United States |
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Gaussian process modulated Cox processes under linear inequality constraints22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019, Apr 2019, Okinawa, Japan. pp.1997-2006 |
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Sparse Linear Models applied to Power Quality Disturbance ClassificationCIARP: Iberoamerican Congress on Pattern Recognition, Nov 2016, Lima, Peru. pp.521-529, ⟨10.1007/978-3-319-52277-7_63⟩ |
Improving Diffusion Tensor Estimation Using Adaptive and Optimized Filtering Based on Local SimilarityIberian Conference on Pattern Recognition and Image Analysis, Jun 2015, Santiago de Compostela, Spain. pp.612-620, ⟨10.1007/978-3-319-19390-8_69⟩ |
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Gaussian Processes for Slice-Based Super-Resolution MR ImagesISVC: International Symposium on Visual Computing, Dec 2015, Las Vegas, United States. ⟨10.1007/978-3-319-27863-6_65⟩ |
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Comparison of preprocessing methods for diffusion tensor estimation in brain imaging2014 XIX Symposium on Image, Signal Processing and Artificial Vision (STSIVA), Sep 2014, Armenia, France. pp.1-5, ⟨10.1109/STSIVA.2014.7010183⟩ |
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Scalable multitask Gaussian processes for complex mechanical systems with functional covariates2026 |
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Scalable Sparse Co-Kriging for Multi-Fidelity Data Fusion: An Application to Aerodynamics2026 |
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Gaussian Process-driven Hidden Markov Models for Early Diagnosis of Infant Gait Anomalies2025 |
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Error Bounds for a Kernel-Based Constrained Optimal Smoothing Approximation2025 |
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Asymptotic analysis for covariance parameter estimation of Gaussian processes with functional inputs2024 |
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Block-Additive Gaussian Processes under Monotonicity Constraints2024 |
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Gaussian Process Modelling under Inequality ConstraintsMathematics [math]. Université de Lyon, 2019. English. ⟨NNT : 2019LYSEM020⟩ |