2 papers
cs.LG2026
The Challenge of Out-Of-Distribution Detection in Motor Imagery BCIs
Merlijn Quincent Mulder, Matias Valdenegro-Toro, Andreea Ioana Sburlea +1
Machine Learning classifiers used in Brain-Computer Interfaces make classifications based on the distribution of data they were trained on. When they need to make inferences on sam…
cs.LG2018
Improving Predictive Uncertainty Estimation using Dropout -- Hamiltonian Monte Carlo
Diego Vergara, Sergio Hernández, Matias Valdenegro-Toro +1
Estimating predictive uncertainty is crucial for many computer vision tasks, from image classification to autonomous driving systems. Hamiltonian Monte Carlo (HMC) is an sampling m…