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Quenched Ensemble Sampling

Paper recorded by Signals 4 on 2026-09-14 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-14 on arXiv · recorded by Signals 4 on 2026-09-15

Category: cs.LG · 机器学习 · first seen 2026-09-15

Abstract

Some of the sharpest challenges in sampling from the energy functions of physical systems arise at phase transitions, where the density of states changes abruptly and many sampling algorithms stall. Nested sampling is a particle method that traverses the density of states under a hard energy constraint and is known to be robust to such transitions, but its application in high dimension is limited

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#52 most recent of 215 cs.LG papers we have recorded · ↑ newer: Bridging Control, Inference, Transport, and Thermodynamics: From Theor · ↓ older: Thin-shell stability of Gaussian cooling: logconcave sampling with ses
Cite this page: Quenched Ensemble Sampling: the #52 most recent of 215 cs.LG papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/quenched-ensemble-sampling.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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