PhD student, Korea Advanced Institute of Science & Technology
2 papers at NeurIPS 2025
We propose QHFlow, an SE(3)-equivariant flow model for generating Hamiltonians.
We propose a flexible two-stage MOF generation framework that combines a SMILES-based autoregressive model with a torsion-aware normalizing flow.
