Flow-Matching

Metric Flow Matching for Smooth Interpolations on the Data Manifold
Matching objectives underpin the success of modern generative models and rely on constructing conditional paths that transform a source …
Kacper Kapusniak, Peter Potaptchik, Teodora Reu, Leo Zhang, Alex Tong, Michael Bronstein, Avishek Joey Bose, Francesco Di Giovanni
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SE(3)-Stochastic Flow Matching for Protein Backbone Generation
We present FoldFlow a novel flow matching model for protein design. We present theory and practical tricks for flow models over SE(3)^N. Empirically, we validate these models on protein backbone generation of up to 300 amino acids leading to high-quality designable, diverse, and novel samples.
Avishek Joey Bose, Tara Akhound-Sadegh, Kilian Fatras, Guillaume Huguet, Jarrid Rector-Brooks, Cheng-Hao Liu, Andrei Cristian Nica, Maksym Korablyov, Michael Bronstein, Alex Tong
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SE(3)-Stochastic Flow Matching for Protein Backbone Generation