33 citations · 59 across the 4 of their papers we have counts for
4 papers
The magnetic scalar potential for a rectangular prism
Berian James, Stefan Pollok, Jes Frellsen +1
We analytically solve Poisson's equation for the magnetic scalar potential generated by a uniformly magnetized rectangular prism and determine a closed-form solution for the magnet…
Scalable physical source-to-field inference with hypernetworks
Berian James, Stefan Pollok, Ignacio Peis +3
We present a generative model that amortises computation for the field and potential around e.g.~gravitational or electromagnetic sources. Exact numerical calculation has either co…
Magnetic Field Prediction Using Generative Adversarial Networks
Stefan Pollok, Nataniel Olden-Jørgensen, Peter Stanley Jørgensen +1
Plenty of scientific and real-world applications are built on magnetic fields and their characteristics. To retrieve the valuable magnetic field information in high resolution, ext…
Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning
Julian Bernhard, Stefan Pollok, Alois Knoll
For highly automated driving above SAE level~3, behavior generation algorithms must reliably consider the inherent uncertainties of the traffic environment, e.g. arising from the v…