Selected Talks

Neural Likelihood for Spatial Transport Error Models with Applications to Aerosol Parameter Constraints featured image

Neural Likelihood for Spatial Transport Error Models with Applications to Aerosol Parameter Constraints

Complex simulators of physical processes are used increasingly often for scientific applications. We propose a novel spatiotemporal modeling framework that models spatial transport …

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Erik A. Bensen
Unfolding of High Dimensional Observables: A Statistical Perspective featured image

Unfolding of High Dimensional Observables: A Statistical Perspective

In this talk we discuss OmniFold and how it relates to the classical Expectation Maximization algorithm and the role of regularization in solving this problem.

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Erik A. Bensen
Sampling-based surrogate likelihood inference for spatial warping error models with applications to aerosol simulations featured image

Sampling-based surrogate likelihood inference for spatial warping error models with applications to aerosol simulations

Complex simulators of physical processes are used increasingly often for scientific applications. However, the parameters governing these physical processes can be highly uncertain …

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Erik A. Bensen