17 citations · 18 across the 4 of their papers we have counts for
4 papers
Machine learning-based spin structure detection
Isaac Labrie-Boulay, Thomas Brian Winkler, Daniel Franzen +3
One of the most important magnetic spin structure is the topologically stabilised skyrmion quasi-particle. Its interesting physical properties make them candidates for memory and e…
"Am I Private and If So, how Many?" - Communicating Privacy Guarantees of Differential Privacy with Risk Communication Formats
Daniel Franzen, Saskia Nuñez von Voigt, Peter Sörries +2
Decisions about sharing personal information are not trivial, since there are many legitimate and important purposes for such data collection, but often the collected data can reve…
"Am I Private and If So, how Many?" -- Using Risk Communication Formats for Making Differential Privacy Understandable
Daniel Franzen, Saskia Nuñez von Voigt, Peter Sörries +2
Mobility data is essential for cities and communities to identify areas for necessary improvement. Data collected by mobility providers already contains all the information necessa…
Nonlinearities in Steerable SO(2)-Equivariant CNNs
Daniel Franzen, Michael Wand
Invariance under symmetry is an important problem in machine learning. Our paper looks specifically at equivariant neural networks where transformations of inputs yield homomorphic…