Feynman-Kac steering of RFdiffusion with ProteinMPNN-based guiding potentials improves predicted interface energetics and raises binder designability by 89.5%.
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
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PRDIM is a diffusion model using a pattern recognizer to impute MNAR missing data by maximizing joint likelihood of observed values and missing mask via EM.
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Controllable protein design with particle-based Feynman-Kac steering
Feynman-Kac steering of RFdiffusion with ProteinMPNN-based guiding potentials improves predicted interface energetics and raises binder designability by 89.5%.
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Missing Pattern Recognized Diffusion Imputation Model for Missing Not At Random
PRDIM is a diffusion model using a pattern recognizer to impute MNAR missing data by maximizing joint likelihood of observed values and missing mask via EM.