SCALLOP: Few-Step Flow Maps with Likelihoods Accepted to NeurIPS

SCALLOP, a collaboration between Cambridge, CMU and Meta FAIR accepted at NeurIPS 2026, introduces scalable few-step likelihood distillation, enabling flow maps to generate samples quickly while computing log-densities for scientific applications like Boltzmann generators.

2026-10-16 ~ 2026-10-17 · 2 related posts

• SCALLOP: NeurIPS 2026 paper distills likelihood flow maps for few-step Boltzmann generation — jmhernandez233 · 2026-10-16
• SCALLOP paper at NeurIPS 2026 trains few-step flow maps with tractable likelihood for Boltzmann generation — gottapatchemall · 2026-10-17