Search Results for author: Benjamin Elder

Found 8 papers, 2 papers with code

Learning Prediction Intervals for Model Performance

no code implementations15 Dec 2020 Benjamin Elder, Matthew Arnold, Anupama Murthi, Jiri Navratil

We address this core problem of performance prediction uncertainty with a method to compute prediction intervals for model performance.

Prediction Intervals Transfer Learning

$\varphi$enics: Vainshtein screening with the finite element method

1 code implementation13 Nov 2020 Jonathan Braden, Clare Burrage, Benjamin Elder, Daniela Saadeh

In this work, we present the numerical code $\varphi$enics, building on the FEniCS library, to solve the full equations of motion from two theories of interest for screening: a model containing high-order derivative operators in the equation of motion and one characterised by nonlinear self-interactions in two coupled scalar fields.

General Relativity and Quantum Cosmology Cosmology and Nongalactic Astrophysics High Energy Physics - Theory

Uncertainty Prediction for Deep Sequential Regression Using Meta Models

no code implementations2 Jul 2020 Jiri Navratil, Matthew Arnold, Benjamin Elder

Generating high quality uncertainty estimates for sequential regression, particularly deep recurrent networks, remains a challenging and open problem.

regression Uncertainty Quantification

Towards Automating the AI Operations Lifecycle

no code implementations28 Mar 2020 Matthew Arnold, Jeffrey Boston, Michael Desmond, Evelyn Duesterwald, Benjamin Elder, Anupama Murthi, Jiri Navratil, Darrell Reimer

Today's AI deployments often require significant human involvement and skill in the operational stages of the model lifecycle, including pre-release testing, monitoring, problem diagnosis and model improvements.

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