DPLM-Evo adds explicit edit operations and a latent alignment space to discrete diffusion protein models, achieving SOTA single-sequence mutation effect prediction on ProteinGym while supporting variable-length generation.
Structured denoising diffusion models in discrete state-spaces
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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3D-GeoFlow reformulates discrete categorical 3D geological generation as simulation-free continuous vector field regression with 3D attention gates, claiming to outperform heuristics and diffusion models on a 2,200-case synthetic dataset.
citing papers explorer
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Towards A Generative Protein Evolution Machine with DPLM-Evo
DPLM-Evo adds explicit edit operations and a latent alignment space to discrete diffusion protein models, achieving SOTA single-sequence mutation effect prediction on ProteinGym while supporting variable-length generation.
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Attention-Guided Flow-Matching for Sparse 3D Geological Generation
3D-GeoFlow reformulates discrete categorical 3D geological generation as simulation-free continuous vector field regression with 3D attention gates, claiming to outperform heuristics and diffusion models on a 2,200-case synthetic dataset.