scDFM (ICLR 2026)
github.com/ai4science-westlakeu/scdfmDistributional flow matching model for robust single-cell perturbation prediction, modeling the full distribution of perturbed cellular expression profiles conditioned on control states via PAD-Transformer and multi-kernel MMD regularization; reduces MSE by 19.6% over the strongest baseline in combinatorial settings (Westlake University, 41+ stars, MIT License)
Sourced from
- Awesome AI for Science — github.com/ai4science-westlakeu/scdfm
- GitHub — github.com/ai4science-westlakeu/scdfm
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