Workshops

Learning and Correcting Static and Dynamic Properties of Materials in Atomistic Simulations

Couplings for sequential Bayesian inference

Uncertainty in wave propagation and imaging in random media

Bridging the scales between the single cell and the cell population - computational considerations

Data assimilation as an optimal control problem and applications to uncertainty quantification

Six Inconvenient Truths about Dft Uncertainty Quantification

UQ associated to controlled approximation choices in DFT

Uncertainty Quantification for Complex Stochastic Systems

Bayesian Probabilistic Numerical Methods

Robust MCMC for high dimensional Bayesian inversion with non-Gaussian and hierarchical priors

Stochastic Asymptotic-Preserving Schemes and Hypocoercivity Based Sensitivity Analysis for Multiscale Kinetic Equations with Random Inputs

Uncertainty Quantification for computer simulations of the interaction of energetic particles with amorphous solids

Multiscale probabilistic models for manufacturing, performance and failure of composites

Tensorized Adaptive Biasing Force method for molecular dynamics (joint work with Pierre Monmarché and Tony Lelièvre)

Model reduction in stochastic dynamics and applications to MD

Competing sources of variance in parallel replica Monte Carlo, and optimization in the low temperature limit

Accelerated sampling and sensitivity analysis for stochastic reaction networks

Sensitivity of mechanical properties to microstructural variability

UQ Indices, Information Inequalities and applications in chemical kinetics

Path-based measures of transport and expansion rates in stochastic flows

Parameter uncertainty, model reduction, and effective theories in physics, biology, and beyond

Stochastic Modelling of Urban Structure

Statistical approaches to forcefield calibration and prediction uncertainty in molecular simulation

Developing statistically rigorous force fields for molecular dynamics simulations on specialized hardware