Scholar
Emmanuel Vazquez
Google Scholar ID: gyx2-dkAAAAJ
Professor, Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des signaux et systèmes
Citations & Impact
Citations
1,306
H-index
16
i10-index
20
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- 2026: Published 'Parameter influence analysis in a 3D TBM model via sensitivity analysis and Gaussian process metamodels' in Comput. geotech.
- 2025: Published 'Bayesian sequential design of computer experiments for quantile set inversion' in Technometrics
- 2025: Presented poster 'A Bayesian framework for calibrating Gaussian process predictive distributions' at COPA 2025
- 2025: Presented poster 'Goal-oriented calibration of Gaussian Processes with conformal prediction' at RCLW02 workshop
- 2025: Released document 'Bayesian Active Learning of (small) Quantile Sets through Expected Estimator Modification'
- 2025: Released document 'Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization'
- 2024: Published 'Quantitative risk assessment of Haemolytic and Uremic Syndrome (HUS) from consumption of raw milk soft cheese' in FESMJ
- 2024: Published 'Multipathogen quantitative risk assessment in raw milk soft cheese' in Microb Risk Anal
- 2024: Presented 'Active Learning of (small) Quantile Sets' at SAMOURAI (workshop of the SAMOURAI ANR project)
- 2024: Presented 'Gaussian process interpolation with conformal prediction: methods and comparative analysis' at LOD 2024
- 2024: Presented 'A stepwise uncertainty reduction strategy for the estimation of small quantile sets' at MASCOT-NUM 2024
- 2024: Presented 'Estimation of Small Quantile Sets Using a Sequential Bayesian Strategy' at SIAM Conference on Uncertainty Quantification (UQ24)
- 2024: Presented 'Multi-output Gaussian process for river water height estimation' at International Workshop on ADVANCEs in ICT Infrastructures and Services
- 2024: Presented 'Scalable Gaussian Process for Large Datasets' at International Workshop on ADVANCEs in ICT Infrastructures and Services
- 2024: Presented poster 'Numerical study of the calibration of predictive distributions from Gaussian process interpolation' at MASCOT-NUM 2024
- 2023: Published 'Parameter selection in Gaussian process interpolation: An empirical study of selection criteria' in JUQ
- 2023: Presented 'Minimizing the risk of foodborne illness and analytical costs using a QMRA model for raw milk cheeses' at 12th International Conference on Predictive Modelling in Food (ICPMF12)
Research Experience
- Researcher at L2S, CentraleSupélec
Background
- Prof. & researcher in Bayesian design and analysis of computer experiments; coordinator of Data Science projects at CentraleSupelec.
Co-authors