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20212025
most citedAutoinverse: Uncertainty Aware Inversion of Neural Networks

3 citations · 6 across the 6 of their papers we have counts for

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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…

physics.chem-ph2024

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…