2 papers
cs.LG2026
Last Layer Hamiltonian Monte Carlo
Koen Vellenga, H. Joe Steinhauer, Göran Falkman +2
We explore the use of Hamiltonian Monte Carlo (HMC) sampling as a probabilistic last layer approach for deep neural networks (DNNs). While HMC is widely regarded as a gold standard…
cs.CV2025
Latent Uncertainty Representations for Video-based Driver Action and Intention Recognition
Koen Vellenga, H. Joe Steinhauer, Jonas Andersson +1
Deep neural networks (DNNs) are increasingly applied to safety-critical tasks in resource-constrained environments, such as video-based driver action and intention recognition. Whi…