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Proximal Diffusion Neural Sampler
ICLR 2026接受的论文，用近端优化改进扩散模型，实现更高效的神经采样器，适合机器学习研究者。
arXiv:2510.03824v2 Announce Type: replace Abstract: The task of learning a diffusion-based neural sampler for drawing samples from an unnormalized tar…
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Complexity of Non-Log-Concave Sampling in Fisher Information
首次给出非对数凹分布采样相对Fisher信息保证的查询复杂度，基于近端采样器与限制高斯oracle，是采样理论的重要进展
arXiv:2605.15859v1 Announce Type: cross Abstract: We study the query complexity of obtaining a relative Fisher information guarantee for sampling from…
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The Diffusion Duality, Chapter II: $\Psi$-Samplers
快速获取最新学术论文，支持开放获取和版本追踪，本论文深入探讨扩散模型的双重性及Ψ采样器。
arXiv:2602.21185v2 Announce Type: replace Abstract: Uniform-state discrete diffusion models excel at few-step generation and guidance due to their abi…