3 papers
cs.NE2026
Neural Particle Automata: Learning Self-Organizing Particle Dynamics
Hyunsoo Kim, Ehsan Pajouheshgar, Sabine Süsstrunk +2
We introduce Neural Particle Automata (NPA), a Lagrangian generalization of Neural Cellular Automata (NCA) from static lattices to dynamic particle systems. Unlike classical Euleri…
cs.CV2026
Color Constancy in Hyperspectral Imaging via Reduced Spectral Spaces
G. Dofri Vidarsson, Liying Lu, Sabine Süsstrunk
Illuminant estimation aims to infer scene illumination from image measurements despite intrinsic ambiguities between surface reflectance and lighting. Most existing methods operate…
cs.LG2024
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training
Chen Liu, Zhichao Huang, Mathieu Salzmann +2
Adversarial training is a popular method to robustify models against adversarial attacks. However, it exhibits much more severe overfitting than training on clean inputs. In this w…