3 papers
cs.NE2024
Exploring Biologically Inspired Mechanisms of Adversarial Robustness
Konstantin Holzhausen, Mia Merlid, Håkon Olav Torvik +2
Backpropagation-optimized artificial neural networks, while precise, lack robustness, leading to unforeseen behaviors that affect their safety. Biological neural systems do solve s…
physics.ed-ph2024
Using Text Embeddings for Deductive Qualitative Research at Scale in Physics Education
Tor Ole B. Odden, Halvor Tyseng, Jonas Timmann Mjaaland +2
We propose a technique for performing deductive qualitative data analysis at scale on text-based data. Using a natural language processing technique known as text embeddings, we cr…
physics.comp-ph2024
Tailoring Frictional Properties of Surfaces Using Diffusion Models
Even Marius Nordhagen, Henrik Andersen Sveinsson, Anders Malthe-Sørenssen
This Letter introduces an approach for precisely designing surface friction properties using a conditional generative machine learning model, specifically a diffusion denoising pro…