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20212025
most citedAddressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning

33 citations · 59 across the 4 of their papers we have counts for

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cs.LG2024

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…

cs.LG2022★ 26 cited

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…