Approximative Uncertainty in Neural Network Predictions
M Malmström - 2023 - diva-portal.org
Suppose data-driven black-box models, eg, neural networks, should be used as
components in safety-critical systems such as autonomous vehicles. In that case, knowing …
components in safety-critical systems such as autonomous vehicles. In that case, knowing …
Dynamic rEvolution: Adaptive state estimation via Gaussian processes and iterative filtering
A Kullberg - 2024 - diva-portal.org
For virtually every area of science and engineering, state estimation is ubiquitous. Accurate
state estimation requires a moderately precise mathematical model of the system, typically …
state estimation requires a moderately precise mathematical model of the system, typically …