Jakeman, John D.

1. Grouped approximate control variate estimators
   2024/02/22 by Gorodetsky, Alex A., Jakeman, John D., Eldred, Michael S. · 3 citations
   #Computation (stat.CO) #Computational Engineering #FOS: Computer and information sciences #Finance #and Science (cs.CE)
2. Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning
   2024/06/30 by Lowery, Matthew, Turnage, John, Morrow, Zachary +4 · 3 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
3. Verification and Validation for Trustworthy Scientific Machine Learning
   2025/02/21 by John D. Jakeman, Jakeman, John D., Lorena A. Barba +5 · 1 voice · 2 citations
   #cs.LG
4. Democratizing Uncertainty Quantification
   2024/02/21 by Linus Seelinger, Seelinger, Linus, Anne Reinarz +45 · 2 citations
   Decision Sciences · #Applications (stat.AP) #Complex Systems and Decision Making #FOS: Computer and information sciences #Mathematical Software (cs.MS)
5. MFNets: Data efficient all-at-once learning of multifidelity surrogates as directed networks of information sources
   2020/08/03 by Gorodetsky, Alex, Jakeman, John D., Geraci, Gianluca · 1 citation
   #41A10 #62J02 #65D15 #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Building Population-Informed Priors for Bayesian Inference Using Data-Consistent Stochastic Inversion
   2024/07/18 by Rebekah White, White, Rebekah D., John Jakeman +5 · 1 citation
   Computer Science · #Bayesian Methods and Mixture Models