L. F. R. Espath

Orcid: 0000-0001-7307-1123

According to our database1, L. F. R. Espath authored at least 15 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
Laplace-based strategies for Bayesian optimal experimental design with nuisance uncertainty.
Stat. Comput., February, 2025

Scalable Method for Bayesian Experimental Design without Integrating over Posterior Distribution.
SIAM/ASA J. Uncertain. Quantification, 2025

2024
Deep NURBS - admissible physics-informed neural networks.
Eng. Comput., December, 2024

Approximating Hessian matrices using Bayesian inference: a new approach for quasi-Newton methods in stochastic optimization.
Optim. Methods Softw., November, 2024

Multilevel randomized quasi-Monte Carlo estimator for nested integration.
CoRR, 2024

2023
Double-loop quasi-Monte Carlo estimator for nested integration.
CoRR, 2023

Physics-informed Spectral Learning: the Discrete Helmholtz-Hodge Decomposition.
CoRR, 2023

2022
Deep nurbs - admissible neural networks.
CoRR, 2022

2021
Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty.
CoRR, 2021

A spatio-temporal adaptive phase-field fracture method.
CoRR, 2021

On the equivalence of different adaptive batch size selection strategies for stochastic gradient descent methods.
CoRR, 2021

2019
Reactive n-species Cahn-Hilliard system: A thermodynamically-consistent model for reversible chemical reactions.
J. Comput. Appl. Math., 2019

2018
An energy-stable generalized-α method for the Swift-Hohenberg equation.
J. Comput. Appl. Math., 2018

Reynolds number and settling velocity influence for finite-release particle-laden gravity currents in a basin.
Comput. Geosci., 2018

2014
Two- and three-dimensional Direct Numerical Simulation of particle-laden gravity currents.
Comput. Geosci., 2014


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