**摘要**
Efficient sampling of molecular systems at thermodynamic equilibrium is a hallmark challenge in statistical physics. This challenge has driven the development of Boltzmann Generators (BGs), which allow rapid generation of uncorrelated equilibrium samples by combining a generative model with exact likelihoods and an importance sampling correction. However, modern BGs predominantly rely on normalizi
👤 作者: Danyal Rehman, Charlie B. Tan, Yoshua Bengio, Avishek Joey Bose, Alexander Tong

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🔗 **[Autoregressive Boltzmann Generators](https://arxiv.org/abs/2606.27361v1)**

> Autoregressive Boltzmann Generators
🏷️ 来源: ArXiv cs.AI
⏱️ 2026-06-26 14:00