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20232025
most citedAccelerating Inference in Molecular Diffusion Models with Latent Representations of Protein Structure

3 citations · 9 across the 6 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

cs.LG2024★ 2 cited

Exploring Discrete Flow Matching for 3D De Novo Molecule Generation

Ian Dunn, David R. Koes

Deep generative models that produce novel molecular structures have the potential to facilitate chemical discovery. Flow matching is a recently proposed generative modeling framewo…

q-bio.BM2024★ 1 cited

Mixed Continuous and Categorical Flow Matching for 3D De Novo Molecule Generation

Ian Dunn, David Ryan Koes

Deep generative models that produce novel molecular structures have the potential to facilitate chemical discovery. Diffusion models currently achieve state of the art performance…