3 citations · 3 across the 3 of their papers we have counts for
3 papers
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…
TrustMol: Trustworthy Inverse Molecular Design via Alignment with Molecular Dynamics
Kevin Tirta Wijaya, Navid Ansari, Hans-Peter Seidel +1
Data-driven generation of molecules with desired properties, also known as inverse molecular design (IMD), has attracted significant attention in recent years. Despite the signific…
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…