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Majdi Hassan

2 accepted papers

2025

Amortized Sampling with Transferable Normalizing Flows

NeurIPS 2025poster

Efficient equilibrium sampling of molecular conformations remains a core challenge in computational chemistry and statistical inference. Classical approaches such as molecular dynamics or Markov chain Monte Carlo inherently lack amortization; the computational cost of sampling must be paid in-full f…

Cited by 0SourceScholar
2024

ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation

NeurIPS 2024poster

Predicting low-energy molecular conformations given a molecular graph is an important but challenging task in computational drug discovery. Existing state- of-the-art approaches either resort to large scale transformer-based models that diffuse over conformer fields, or use computationally expensiv…