Rémi Lafage
Statistics and Probability · 2019
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 6 citations into it
Whom Rémi Lafage trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Eric R. Ziegel (in Artificial Intelligence)
- M. Powell (in Mathematical Optimization)
- Gaetan K. W. Kenway (in Computational Mechanics)
- Joaquim R. Martins (in Computational Mechanics)
Papers from Rémi Lafage's perspective
Ordered by how strongly the researchers Rémi Lafage trusts endorse each paper. Same corpus, a different order for every researcher.
- Extensions to the design structure matrix for the description of multidisciplinary design, analysis, and optimization processes (Structural And Multidisciplinary Optimization)
- Automatic Differentiation Adjoint of the Reynolds-Averaged Navier-Stokes Equations with a Turbulence Model
- Engineering Design via Surrogate Modelling - A Practical Guide
- A Direct Search Optimization Method That Models the Objective and Constraint Functions by Linear Interpolation
- Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
- Multipoint Aerodynamic Shape Optimization Investigations of the Common Research Model Wing
- The Elements of Statistical Learning
- Scikit-learn: Machine Learning in Python
- A Note on the Extended Rosenbrock Function (Evolutionary Computation)
- Multi-fidelity Gaussian process regression for computer experiments
Their papers
- A Python surrogate modeling framework with derivatives (2019) — 325 citations