Convergence rates for adaptive approximation of ordinary differential equations. - Kyoung-Sook Moon; Anders Szepessy; Raúl Tempone; Georgios E. Zouraris (Numerische Mathematik, 2003)

A variational principle for adaptive approximation of ordinary differential equations. - Kyoung-Sook Moon; Anders Szepessy; Raúl Tempone; Georgios E. Zouraris (Numerische Mathematik, 2003)

A Dynamic Data Driven Computational Infrastructure for Reliable Computer Simulations. - J. Tinsley Oden; James C. Browne; Ivo Babuska; Chandrajit L. Bajaj; Leszek F. Demkowicz; L. Gray; Jon Bass; Yusheng Feng; Serge Prudhomme; Fabio Nobile; Raúl Tempone (International Conference on Computational Science, 2004)

Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations. - Ivo Babuska; Raúl Tempone; Georgios E. Zouraris (SIAM J. Numer. Anal., 2004)

Worst case scenario analysis for elliptic problems with uncertainty. - Ivo Babuska; Fabio Nobile; Raúl Tempone (Numerische Mathematik, 2005)

A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data. - Ivo Babuska; Fabio Nobile; Raúl Tempone (SIAM J. Numer. Anal., 2007)

Adaptive Weak Approximation of Diffusions with Jumps. - Ernesto Mordecki; Anders Szepessy; Raúl Tempone; Georgios E. Zouraris (SIAM J. Numer. Anal., 2008)

A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data. - Fabio Nobile; Raúl Tempone; Clayton G. Webster (SIAM J. Numer. Anal., 2008)

An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data. - Fabio Nobile; Raúl Tempone; Clayton G. Webster (SIAM J. Numer. Anal., 2008)

Adaptive weak approximation of reflected and stopped diffusions. - Christian Bayer 001; Anders Szepessy; Raúl Tempone (Monte Carlo Methods Appl., 2010)

Mean field interaction in biochemical reaction networks. - Hamidou Tembine; Raúl Tempone; Pedro Vilanova (Allerton, 2011)

Towards automatic global error control: Computable weak error expansion for the tau-leap method. - Jesper Karlsson; Raúl Tempone (Monte Carlo Methods Appl., 2011)

Diffusion approximation of Lévy processes with a view towards finance. - Jonas Kiessling; Raúl Tempone (Monte Carlo Methods Appl., 2011)

Mean field games for cognitive radio networks. - Hamidou Tembine; Raúl Tempone; Pedro Vilanova (ACC, 2012)

Mean-Field Learning: a Survey - Hamidou Tembine; Raúl Tempone; Pedro Vilanova (CoRR, 2012)

Mean-field learning for satisfactory solutions. - Hamidou Tembine; Raúl Tempone; Pedro Vilanova (CDC, 2013)

A stochastic collocation method for the second order wave equation with a discontinuous random speed. - Mohammad Motamed; Fabio Nobile; Raúl Tempone (Numerische Mathematik, 2013)

Approximation of Quantities of Interest in Stochastic PDEs by the Random Discrete L2 Projection on Polynomial Spaces. - Giovanni Migliorati; Fabio Nobile; Erik von Schwerin; Raúl Tempone (SIAM J. Sci. Comput., 2013)

Construction of a Mean Square Error Adaptive Euler-Maruyama Method With Applications in Multilevel Monte Carlo. - Håkon Hoel; Juho Häppölä; Raúl Tempone (MCQMC, 2014)

Convergence of quasi-optimal Stochastic Galerkin methods for a class of PDES with random coefficients. - Joakim Beck; Fabio Nobile; Lorenzo Tamellini; Raúl Tempone (Comput. Math. Appl., 2014)

Mean-Field Games for Marriage. - Dario Bauso; Ben Mansour Dia; Boualem Djehiche; Hamidou Tembine; Raúl Tempone (CoRR, 2014)

A Fast Simulation Method for the Sum of Subexponential Distributions. - Nadhir Ben Rached; Fatma Benkhelifa; Abla Kammoun; Mohamed-Slim Alouini; Raúl Tempone (CoRR, 2014)

An Improved Hazard Rate Twisting Approach for the Statistic of the Sum of Subexponential Variates (Extended Version). - Nadhir Ben Rached; Abla Kammoun; Mohamed-Slim Alouini; Raúl Tempone (CoRR, 2014)

Analysis of Discrete L2 Projection on Polynomial Spaces with Random Evaluations. - Giovanni Migliorati; Fabio Nobile; Erik von Schwerin; Raúl Tempone (Found. Comput. Math., 2014)

Implementation and analysis of an adaptive multilevel Monte Carlo algorithm. - Håkon Hoel; Erik von Schwerin; Anders Szepessy; Raúl Tempone (Monte Carlo Methods Appl., 2014)

Multiscale Modeling of Wear Degradation in Cylinder Liners. - Alvaro Moraes; Fabrizio Ruggeri 001; Raúl Tempone; Pedro Vilanova (Multiscale Model. Simul., 2014)

Hybrid Chernoff Tau-Leap. - Alvaro Moraes; Raúl Tempone; Pedro Vilanova (Multiscale Model. Simul., 2014)

On NonAsymptotic Optimal Stopping Criteria in Monte Carlo Simulations. - Christian Bayer 001; Håkon Hoel; Erik von Schwerin; Raúl Tempone (SIAM J. Sci. Comput., 2014)

An Efficient Simulation Scheme of the Outage Probability with Co-Channel Interference. - Nadhir Ben Rached; Abla Kammoun; Mohamed-Slim Alouini; Raúl Tempone (GLOBECOM, 2015)

A fast simulation method for the Log-normal sum distribution using a hazard rate twisting technique. - Nadhir Ben Rached; Fatma Benkhelifa; Mohamed-Slim Alouini; Raúl Tempone (ICC, 2015)

A unified simulation approach for the fast outage capacity evaluation over generalized fading channels. - Nadhir Ben Rached; Abla Kammoun; Mohamed-Slim Alouini; Raúl Tempone (ISIT, 2015)

Analysis and computation of the elastic wave equation with random coefficients. - Mohammad Motamed; Fabio Nobile; Raúl Tempone (Comput. Math. Appl., 2015)

An Improved Hazard Rate Twisting Approach for the Statistic of the Sum of Subexponential Variates. - Nadhir Ben Rached; Abla Kammoun; Mohamed-Slim Alouini; Raúl Tempone (IEEE Commun. Lett., 2015)

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points. - Giovanni Migliorati; Fabio Nobile; Raúl Tempone (J. Multivar. Anal., 2015)

An Error Estimate for Symplectic Euler Approximation of Optimal Control Problems. - Jesper Karlsson; Stig Larsson 001; Mattias Sandberg; Anders Szepessy; Raúl Tempone (SIAM J. Sci. Comput., 2015)

A Stochastic Maximum Principle for Risk-Sensitive Mean-Field Type Control. - Boualem Djehiche; Hamidou Tembine; Raúl Tempone (IEEE Trans. Autom. Control., 2015)

On the sum of Gamma-Gamma variates with application to the fast outage probability evaluation over fading channels. - Chaouki Ben Issaid; Nadhir Ben Rached; Abla Kammoun; Mohamed-Slim Alouini; Raúl Tempone (GlobalSIP, 2016)

Fast Outage Probability Simulation for FSO Links with a Generalized Pointing Error Model. - Chaouki Ben Issaid; Ki-Hong Park; Mohamed-Slim Alouini; Raúl Tempone (GLOBECOM, 2016)

An exact power series formula of the outage probability with noise and interference over generalized fading channels. - Nadhir Ben Rached; Abla Kammoun; Mohamed-Slim Alouini; Raúl Tempone (PIMRC, 2016)

Analytic regularity and collocation approximation for elliptic PDEs with random domain deformations. - Julio Enrique Castrillón-Candás; Fabio Nobile; Raúl Tempone (Comput. Math. Appl., 2016)

Multi-index Stochastic Collocation Convergence Rates for Random PDEs with Parametric Regularity. - Abdul-Lateef Haji-Ali; Fabio Nobile; Lorenzo Tamellini; Raúl Tempone (Found. Comput. Math., 2016)

Unified Importance Sampling Schemes for Efficient Simulation of Outage Capacity Over Generalized Fading Channels. - Nadhir Ben Rached; Abla Kammoun; Mohamed-Slim Alouini; Raúl Tempone (IEEE J. Sel. Top. Signal Process., 2016)

A Sparse Stochastic Collocation Technique for High-Frequency Wave Propagation with Uncertainty. - Gabriela Malenova; Mohammad Motamed; Olof Runborg; Raúl Tempone (SIAM/ASA J. Uncertain. Quantification, 2016)

Multi-index Monte Carlo: when sparsity meets sampling. - Abdul-Lateef Haji-Ali; Fabio Nobile; Raúl Tempone (Numerische Mathematik, 2016)

Convergence of quasi-optimal sparse-grid approximation of Hilbert-space-valued functions: application to random elliptic PDEs. - Fabio Nobile; Lorenzo Tamellini; Raúl Tempone (Numerische Mathematik, 2016)

Multilevel ensemble Kalman filtering. - Håkon Hoel; Kody J. H. Law; Raúl Tempone (SIAM J. Numer. Anal., 2016)

Computable Error Estimates for Finite Element Approximations of Elliptic Partial Differential Equations with Rough Stochastic Data. - Eric Joseph Hall; Håkon Hoel; Mattias Sandberg; Anders Szepessy; Raúl Tempone (SIAM J. Sci. Comput., 2016)

Deterministic Mean-Field Ensemble Kalman Filtering. - Kody J. H. Law; Hamidou Tembine; Raúl Tempone (SIAM J. Sci. Comput., 2016)

A Multilevel Adaptive Reaction-splitting Simulation Method for Stochastic Reaction Networks. - Alvaro Moraes; Raúl Tempone; Pedro Vilanova (SIAM J. Sci. Comput., 2016)

Multilevel hybrid split-step implicit tau-leap. - Chiheb Ben Hammouda; Alvaro Moraes; Raúl Tempone (Numer. Algorithms, 2017)

On the Efficient Simulation of the Distribution of the Sum of Gamma-Gamma Variates With Application to the Outage Probability Evaluation Over Fading Channels. - Chaouki Ben Issaid; Nadhir Ben Rached; Abla Kammoun; Mohamed-Slim Alouini; Raúl Tempone (IEEE Trans. Commun., 2017)

On the Efficient Simulation of Outage Probability in a Log-Normal Fading Environment. - Nadhir Ben Rached; Abla Kammoun; Mohamed-Slim Alouini; Raúl Tempone (IEEE Trans. Commun., 2017)

A Unified Moment-Based Approach for the Evaluation of the Outage Probability With Noise and Interference. - Nadhir Ben Rached; Abla Kammoun; Mohamed-Slim Alouini; Raúl Tempone (IEEE Trans. Wirel. Commun., 2017)

Accurate Outage Probability Evaluation of Equal Gain Combining Receivers. - Nadhir Ben Rached; Abla Kammoun; Mohamed-Slim Alouini; Raúl Tempone (GLOBECOM, 2018)

Importance Sampling Estimator of Outage Probability under Generalized Selection Combining Model. - Nadhir Ben Rached; Zdravko I. Botev; Abla Kammoun; Mohamed-Slim Alouini; Raúl Tempone (ICASSP, 2018)

Efficient outage probability evaluation of diversity receivers over α-μ fading channels. - Chaouki Ben Issaid; Mohamed-Slim Alouini; Raúl Tempone (WCNC, 2018)

On the efficient simulation of the left-tail of the sum of correlated log-normal variates. - Mohamed-Slim Alouini; Nadhir Ben Rached; Abla Kammoun; Raúl Tempone (Monte Carlo Methods Appl., 2018)

Sparse approximation of multilinear problems with applications to kernel-based methods in UQ. - Fabio Nobile; Raúl Tempone; Sören Wolfers (Numerische Mathematik, 2018)

Multilevel and Multi-index Monte Carlo methods for the McKean-Vlasov equation. - Abdul-Lateef Haji-Ali; Raúl Tempone (Stat. Comput., 2018)

On the generalization of the hazard rate twisting-based simulation approach. - Nadhir Ben Rached; Fatma Benkhelifa; Abla Kammoun; Mohamed-Slim Alouini; Raúl Tempone (Stat. Comput., 2018)

On the Fast and Precise Evaluation of the Outage Probability of Diversity Receivers Over -αμ, κ-μ, and η-μ Fading Channels. - Chaouki Ben Issaid; Mohamed-Slim Alouini; Raúl Tempone (IEEE Trans. Wirel. Commun., 2018)

On the Sum of Order Statistics and Applications to Wireless Communication Systems Performances. - Nadhir Ben Rached; Zdravko I. Botev; Abla Kammoun; Mohamed-Slim Alouini; Raúl Tempone (IEEE Trans. Wirel. Commun., 2018)

Solution of the 3D density-driven groundwater flow problem with uncertain porosity and permeability. - Alexander Litvinenko; Dmitriy Logashenko; Raúl Tempone; Gabriel Wittum; David E. Keyes (CoRR, 2019)

Multilevel Ensemble Kalman Filtering with local-level Kalman gains. - Håkon Hoel; Gaukhar Shaimerdenova; Raúl Tempone (CoRR, 2020)

A Wasserstein Coupled Particle Filter for Multilevel Estimation. - Marco Ballesio; Ajay Jasra; Erik von Schwerin; Raúl Tempone (CoRR, 2020)

Weak error rates for option pricing under the rough Bergomi model. - Christian Bayer 001; Eric Joseph Hall; Raúl Tempone (CoRR, 2020)

Smaller generalization error derived for deep compared to shallow residual neural networks. - Aku Kammonen; Jonas Kiessling; Petr Plechác; Mattias Sandberg; Anders Szepessy; Raúl Tempone (CoRR, 2020)

An Accurate Sample Rejection Estimator of the Outage Probability With Equal Gain Combining. - Nadhir Ben Rached; Abla Kammoun; Mohamed-Slim Alouini; Raúl Tempone (IEEE Open J. Commun. Soc., 2020)

Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks. - Chiheb Ben Hammouda; Nadhir Ben Rached; Raúl Tempone (Stat. Comput., 2020)

A Universal Splitting Estimator for the Performance Evaluation of Wireless Communications Systems. - Nadhir Ben Rached; Daniel MacKinlay; Zdravko I. Botev; Raúl Tempone; Mohamed-Slim Alouini (IEEE Trans. Wirel. Commun., 2020)

A hybrid collocation-perturbation approach for PDEs with random domains. - Julio Enrique Castrillón-Candás; Fabio Nobile; Raúl Tempone (Adv. Comput. Math., 2021)

A simple approach to proving the existence, uniqueness, and strong and weak convergence rates for a broad class of McKean-Vlasov equations. - Abdul-Lateef Haji-Ali; Håkon Hoel; Raúl Tempone (CoRR, 2021)

Wind Field Reconstruction with Adaptive Random Fourier Features. - Jonas Kiessling; Emanuel Ström; Raúl Tempone (CoRR, 2021)

Principal Component Density Estimation for Scenario Generation Using Normalizing Flows. - Eike Cramer; Alexander Mitsos; Raúl Tempone; Manuel Dahmen (CoRR, 2021)

Analysis of a class of Multi-Level Markov Chain Monte Carlo algorithms based on Independent Metropolis-Hastings. - Juan Pablo Madrigal-Cianci; Fabio Nobile; Raúl Tempone (CoRR, 2021)

Machine learning-based conditional mean filter: a generalization of the ensemble Kalman filter for nonlinear data assimilation. - Truong-Vinh Hoang; Sebastian Krumscheid; Hermann G. Matthies; Raúl Tempone (CoRR, 2021)

On the equivalence of different adaptive batch size selection strategies for stochastic gradient descent methods. - Luis Espath; Sebastian Krumscheid; Raúl Tempone; Pedro Vilanova (CoRR, 2021)

Optimal Importance Sampling via Stochastic Optimal Control for Stochastic Reaction Networks. - Chiheb Ben Hammouda; Nadhir Ben Rached; Raúl Tempone; Sophia Wiechert (CoRR, 2021)

Numerical Smoothing with Hierarchical Adaptive Sparse Grids and Quasi-Monte Carlo Methods for Efficient Option Pricing. - Christian Bayer 001; Chiheb Ben Hammouda; Raúl Tempone (CoRR, 2021)

Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty. - Arved Bartuska; Luis Espath; Raúl Tempone (CoRR, 2021)

Multilevel ensemble Kalman filtering for spatio-temporal processes. - Alexey Chernov; Håkon Hoel; Kody J. H. Law; Fabio Nobile; Raúl Tempone (Numerische Mathematik, 2021)

Quantifying uncertainty with a derivative tracking SDE model and application to wind power forecast data. - Renzo Caballero; Ahmed Kebaier; Marco Scavino; Raúl Tempone (Stat. Comput., 2021)

Generalized parallel tempering on Bayesian inverse problems. - Jonas Latz; Juan P. Madrigal-Cianci; Fabio Nobile; Raúl Tempone (Stat. Comput., 2021)

Efficient importance sampling for large sums of independent and identically distributed random variables. - Nadhir Ben Rached; Abdul-Lateef Haji-Ali; Gerardo Rubino; Raúl Tempone (Stat. Comput., 2021)

Efficient Importance Sampling for the Left Tail of Positive Gaussian Quadratic Forms. - Chaouki Ben Issaid; Mohamed-Slim Alouini; Raúl Tempone (IEEE Wirel. Commun. Lett., 2021)

Efficient Importance Sampling Algorithm Applied to the Performance Analysis of Wireless Communication Systems Estimation. - Eya Ben Amar; Nadhir Ben Rached; Abdul-Lateef Haji-Ali; Raúl Tempone (CoRR, 2022)

Nonlinear Isometric Manifold Learning for Injective Normalizing Flows. - Eike Cramer; Felix Rauh; Alexander Mitsos; Raúl Tempone; Manuel Dahmen (CoRR, 2022)

Optimal Damping with Hierarchical Adaptive Quadrature for Efficient Fourier Pricing of Multi-Asset Options in Lévy Models. - Christian Bayer 001; Chiheb Ben Hammouda; Antonis Papapantoleon; Michael Samet; Raúl Tempone (CoRR, 2022)

Goal-Oriented Adaptive Finite Element Multilevel Monte Carlo with Convergence Rates. - Joakim Beck; Yang Liu; Erik von Schwerin; Raúl Tempone (CoRR, 2022)

Double Loop Monte Carlo Estimator with Importance Sampling for McKean-Vlasov Stochastic Differential Equation. - Nadhir Ben Rached; Abdul-Lateef Haji-Ali; Shyam Mohan Subbiah Pillai; Raúl Tempone (CoRR, 2022)

Multilevel Importance Sampling for McKean-Vlasov Stochastic Differential Equation. - Nadhir Ben Rached; Abdul-Lateef Haji-Ali; Shyam Mohan Subbiah Pillai; Raúl Tempone (CoRR, 2022)

Deep nurbs - admissible neural networks. - Hamed Saidaoui; Luis Espath; Raúl Tempone (CoRR, 2022)

Multi-index ensemble Kalman filtering. - Håkon Hoel; Gaukhar Shaimerdenova; Raúl Tempone (J. Comput. Phys., 2022)

Uncertainty quantification in coastal aquifers using the multilevel Monte Carlo method. - Alexander Litvinenko; Dmitry Logashenko; Raúl Tempone; Ekaterina Vasilyeva; Gabriel Wittum (CoRR, 2023)

Physics-informed Spectral Learning: the Discrete Helmholtz-Hodge Decomposition. - Luis Espath; Pouria Behnoudfar; Raúl Tempone (CoRR, 2023)

Double-loop quasi-Monte Carlo estimator for nested integration. - Arved Bartuska; André Gustavo Carlon; Luis Espath; Sebastian Krumscheid; Raúl Tempone (CoRR, 2023)

Multi-index Importance Sampling for McKean-Vlasov Stochastic Differential Equation. - Nadhir Ben Rached; Abdul-Lateef Haji-Ali; Shyam Mohan Subbiah Pillai; Raúl Tempone (CoRR, 2023)

Residual Multi-Fidelity Neural Network Computing. - Owen Davis; Mohammad Motamed; Raúl Tempone (CoRR, 2023)

Nonasymptotic Convergence Rate of Quasi-Monte Carlo: Applications to Linear Elliptic PDEs with Lognormal Coefficients and Importance Samplings. - Yang Liu; Raúl Tempone (CoRR, 2023)

Analysis of a Class of Multilevel Markov Chain Monte Carlo Algorithms Based on Independent Metropolis-Hastings. - Juan P. Madrigal-Cianci; Fabio Nobile; Raúl Tempone (SIAM/ASA J. Uncertain. Quantification, 2023)

State-dependent importance sampling for estimating expectations of functionals of sums of independent random variables. - Eya Ben Amar; Nadhir Ben Rached; Abdul-Lateef Haji-Ali; Raúl Tempone (Stat. Comput., 2023)

Learning-based importance sampling via stochastic optimal control for stochastic reaction networks. - Chiheb Ben Hammouda; Nadhir Ben Rached; Raúl Tempone; Sophia Wiechert (Stat. Comput., 2023)

Comparing Spectral Bias and Robustness For Two-Layer Neural Networks: SGD vs Adaptive Random Fourier Features. - Aku Kammonen; Lisi Liang; Anamika Pandey; Raúl Tempone (CoRR, 2024)

Quasi-Monte Carlo for Efficient Fourier Pricing of Multi-Asset Options. - Christian Bayer 001; Chiheb Ben Hammouda; Antonis Papapantoleon; Michael Samet; Raúl Tempone (CoRR, 2024)

Importance sampling for rare event tracking within the ensemble Kalman filtering framework. - Nadhir Ben Rached; Erik von Schwerin; Gaukhar Shaimerdenova; Raúl Tempone (CoRR, 2024)

Estimation of uncertainties in the density driven flow in fractured porous media using MLMC. - Dmitry Logashenko; Alexander Litvinenko; Raúl Tempone; Gabriel Wittum (CoRR, 2024)

Forward Propagation of Low Discrepancy Through McKean-Vlasov Dynamics: From QMC to MLQMC. - Nadhir Ben Rached; Abdul-Lateef Haji-Ali; Raúl Tempone; Leon Wilkosz (CoRR, 2024)

Adaptive Random Fourier Features Training Stabilized By Resampling With Applications in Image Regression. - Aku Kammonen; Anamika Pandey; Erik von Schwerin; Raúl Tempone (CoRR, 2024)

Parameter Estimation for Partially Observed McKean-Vlasov Diffusions. - Ajay Jasra; Mohamed Maama; Raúl Tempone (CoRR, 2024)

Multilevel randomized quasi-Monte Carlo estimator for nested integration. - Arved Bartuska; André Gustavo Carlon; Luis Espath; Sebastian Krumscheid; Raúl Tempone (CoRR, 2024)

Automated importance sampling via optimal control for stochastic reaction networks: A Markovian projection-based approach. - Chiheb Ben Hammouda; Nadhir Ben Rached; Raúl Tempone; Sophia Wiechert (J. Comput. Appl. Math., 2024)

Uncertainty quantification in the Henry problem using the multilevel Monte Carlo method. - Dmitry Logashenko; Alexander Litvinenko; Raúl Tempone; Ekaterina Vasilyeva; Gabriel Wittum (J. Comput. Phys., 2024)

Multilevel Monte Carlo with Numerical Smoothing for Robust and Efficient Computation of Probabilities and Densities. - Christian Bayer 001; Chiheb Ben Hammouda; Raúl Tempone (SIAM J. Sci. Comput., 2024)

Approximating Hessian matrices using Bayesian inference: a new approach for quasi-Newton methods in stochastic optimization. - André Gustavo Carlon; Luis Espath; Raúl Tempone (Optim. Methods Softw., 2024)

Deep NURBS - admissible physics-informed neural networks. - Hamed Saidaoui; Luis Espath; Raúl Tempone (Eng. Comput., 2024)

Double-loop importance sampling for McKean-Vlasov stochastic differential equation. - Nadhir Ben Rached; Abdul-Lateef Haji-Ali; Shyam Mohan Subbiah Pillai; Raúl Tempone (Stat. Comput., 2024)

Scalable Method for Bayesian Experimental Design without Integrating over Posterior Distribution. - Vinh Hoang; Luis Espath; Sebastian Krumscheid; Raúl Tempone (SIAM/ASA J. Uncertain. Quantification, 2025)

Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI. - Felix Terhag; Philipp Knechtges; Achim Basermann; Raúl Tempone (SIAM/ASA J. Uncertain. Quantification, 2025)

A function approximation algorithm using multilevel active subspaces. - Fabio Nobile; Matteo Raviola; Raúl Tempone (CoRR, 2025)

Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction Networks. - Chiheb Ben Hammouda; Maksim Chupin; Sophia Münker; Raúl Tempone (CoRR, 2025)

Laplace-based strategies for Bayesian optimal experimental design with nuisance uncertainty. - Arved Bartuska; Luis Espath; Raúl Tempone (Stat. Comput., 2025)

Multilevel importance sampling for rare events associated with the McKean-Vlasov equation. - Nadhir Ben Rached; Abdul-Lateef Haji-Ali; Shyam Mohan Subbiah Pillai; Raúl Tempone (Stat. Comput., 2025)

Sparse Bayesian Learning for Label Efficiency in Cardiac Real-Time MRI. - Felix Terhag; Philipp Knechtges; Achim Basermann; Anja Bach; Darius Gerlach; Jens Tank; Raúl Tempone (CoRR, 2025)

Stochastic Differential Equations for Performance Analysis of Wireless Communication Systems. - Eya Ben Amar; Nadhir Ben Rached; Raúl Tempone; Mohamed-Slim Alouini (IEEE Trans. Wirel. Commun., 2025)

An Adaptive Random Fourier Features approach Applied to Learning Stochastic Differential Equations. - Owen Douglas; Aku Kammonen; Anamika Pandey; Raúl Tempone (CoRR, 2025)

Goal-Oriented Adaptive Finite Element Multilevel Quasi-{M}onte {C}arlo. - Joakim Beck; Yang Liu; Erik von Schwerin; Raúl Tempone (CoRR, 2025)

Data-driven uncertainty quantification for constrained stochastic differential equations and application to solar photovoltaic power forecast data. - Khaoula Ben Chaabane; Ahmed Kebaier; Marco Scavino; Raúl Tempone (Stat. Comput., 2025)