MAP Estimation for Bayesian Mixture Models with Submodular Priors

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MAP Estimation for Bayesian Mixture Models with Submodular Priors

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Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Stochastic pairwise preference convergence in Bayesian agents

A Shape Derivative Approach to Domain Simplification

Analysis-aware defeaturing of complex geometries with Neumann features

Robust Outlier Rejection for 3D Registration with Variational Bayes

An equilibrated flux a posteriori error estimator for defeaturing problems

Unbiased Likelihood Estimation of Wright–Fisher Diffusion Processes

Stochastic adaptive resampling for the estimation of discrete choice models

ReLU Neural Network Galerkin BEM

Spatiotemporal wildfire modeling through point processes with moderate and extreme marks

Timing and spatial selection bias in rapid extreme event attribution

Experimental Validation of a Unified and Linear State Estimation Method for Hybrid AC/DC Microgrids

An Unbiased Method of Measuring the Ratio of Two Data Sets

Results on Sparse Integer Programming and Geometric Independent Sets

Positive Definite Completions and Continuous Graphical Models

An a posteriori error estimator for isogeometric analysis on trimmed geometries

Adaptive analysis-aware defeaturing

Lower-bounds on the Bayesian Risk in Estimation Procedures via f–Divergences

Analysis-aware defeaturing of complex geometries