CellFluxRL: RL-based biological grounding for virtual cell models, submitted to ECCV 2026
Prof_Lundberg · x · 2026-09-11
Generative cell models mimic microscopy data, but distribution learning optimizes pixels rather than biological entities, producing visually realistic yet biologically unaligned outputs. The team proposes CellFluxRL, a reinforcement-learning post-training path for "biological grounding" of virtual cells, submitted to ECCV 2026.
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