Luis Espath

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Inexact Uzawa-Double Deep Ritz Method for Weak Adversarial Neural Networks.
CoRR
Emin Benny-Chacko, Ignacio Brevis, Luis Espath, Kristoffer G. van der Zee
2025 J jnl
Laplace-based strategies for Bayesian optimal experimental design with nuisance uncertainty.
Stat. Comput.
Arved Bartuska, Luis Espath, Raúl Tempone
2025 J jnl
Scalable Method for Bayesian Experimental Design without Integrating over Posterior Distribution.
SIAM/ASA J. Uncertain. Quantification
Vinh Hoang, Luis Espath, Sebastian Krumscheid, Raúl Tempone
2024 J jnl
Approximating Hessian matrices using Bayesian inference: a new approach for quasi-Newton methods in stochastic optimization.
Optim. Methods Softw.
André Gustavo Carlon, Luis Espath, Raúl Tempone
2024 J jnl
Deep NURBS - admissible physics-informed neural networks.
Eng. Comput.
Hamed Saidaoui, Luis Espath, Raúl Tempone
2024 J jnl
Multilevel randomized quasi-Monte Carlo estimator for nested integration.
CoRR
Arved Bartuska, André Gustavo Carlon, Luis Espath, Sebastian Krumscheid, Raúl Tempone
2023 J jnl
Double-loop quasi-Monte Carlo estimator for nested integration.
CoRR
Arved Bartuska, André Gustavo Carlon, Luis Espath, Sebastian Krumscheid, Raúl Tempone
2023 J jnl
Laplace-based strategies for Bayesian optimal experimental design with nuisance uncertainty.
CoRR
Arved Bartuska, Luis Espath, Raúl Tempone
2023 J jnl
Physics-informed Spectral Learning: the Discrete Helmholtz-Hodge Decomposition.
CoRR
Luis Espath, Pouria Behnoudfar, Raúl Tempone
2023 J jnl
Scalable method for Bayesian experimental design without integrating over posterior distribution.
CoRR
Vinh Hoang, Luis Espath, Sebastian Krumscheid, Raúl Tempone
2022 J jnl
Deep nurbs - admissible neural networks.
CoRR
Hamed Saidaoui, Luis Espath, Raúl Tempone
2021 J jnl
A spatio-temporal adaptive phase-field fracture method.
CoRR
Nicolas A. Labanda, Luis Espath, Victor Manuel Calo
2021 J jnl
On the equivalence of different adaptive batch size selection strategies for stochastic gradient descent methods.
CoRR
Luis Espath, Sebastian Krumscheid, Raúl Tempone, Pedro Vilanova
2021 J jnl
Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty.
CoRR
Arved Bartuska, Luis Espath, Raúl Tempone