Search Results for author: Stefan Pollok

Found 3 papers, 1 papers with code

Scalable physical source-to-field inference with hypernetworks

no code implementations7 May 2024 Berian James, Stefan Pollok, Ignacio Peis, Jes Frellsen, Rasmus Bjørk

We present a generative model that amortises computation for the field around e. g. gravitational or magnetic sources.

Magnetic Field Prediction Using Generative Adversarial Networks

1 code implementation14 Mar 2022 Stefan Pollok, Nataniel Olden-Jørgensen, Peter Stanley Jørgensen, Rasmus Bjørk

By minimizing this statistical distance, a reconstruction loss as well as physical losses, our trained generator has learned to predict the missing field values with a median reconstruction test error of 5. 14%, when a single coherent region of field points is missing, and 5. 86%, when only a few point measurements in space are available and the field measurements around are predicted.

Generative Adversarial Network

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