3 citations · 3 across the 3 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2024
Uncertainty separation via ensemble quantile regression
Navid Ansari, Hans-Peter Seidel, Vahid Babaei
This paper introduces a novel and scalable framework for uncertainty estimation and separation with applications in data driven modeling in science and engineering tasks where reli…
cs.LG2022★ 3 cited
Autoinverse: Uncertainty Aware Inversion of Neural Networks
Navid Ansari, Hans-Peter Seidel, Nima Vahidi Ferdowsi +1
Neural networks are powerful surrogates for numerous forward processes. The inversion of such surrogates is extremely valuable in science and engineering. The most important proper…