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NFMs combine few step sampling with tractable likelihoods and we are particularly excited about their application to RL post-training π€ and Boltzmann Generators π§ͺ. Come check it out if you're in Sydney for the STODY workshop!π₯
π¨ New Paper Alert, π€ Accepted for an oral presentation at the NeurIPS 2026 STODY workshop!View quoted post on X
π£ Introducing: Normalizing Flow Maps (NFM): Combining few-step transport from Flow maps with tractable likelihoods from Normalizing Flows.
This is my first work with my first crop of new PhD students, @francescoshox and @tim_hitge, who genuinely knocked this project out of the park.
π Paper: arxiv.org/abs/2610.22711
π Blog: the-bose-lab.github.io/normalizing-flβ¦
π» Code: github.com/francescoshox/β¦
π§΅
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