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20232026
most citedSE(3)-Stochastic Flow Matching for Protein Backbone Generation

15 citations · 30 across the 12 of their papers we have counts for

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cs.LG2026

Topological Flow Matching

Kacper Wyrwal, İsmail İlkan Ceylan, Alexander Tong

Flow matching is a powerful generative modeling framework, valued for its simplicity and strong empirical performance. However, its standard formulation treats signals on structure…

cs.LG2026

Entropy Across the Bridge: Conditional-Marginal Discretization for Flow and Schrödinger Samplers

Bruno Trentini, Dejan Stancevic, Michael M. Bronstein +2

For a fixed flow-based generative model under a small inference budget, sample quality can depend strongly on where the sampler spends its few function evaluations. Flow matching a…