Paper

Dimension-Uniform Discretization Analysis of Preconditioned Annealed Langevin Dynamics for Multimodal Gaussian Mixtures

Unreadunread

AI summary

arXiv:2605. 16473v1 Announce Type: new Abstract: Obtaining stable diffusion-based samplers in high- and infinite-dimensional settings is challenging because errors can accumulate across high-frequency coordinates and make the dynamics unstable under refinement of the finite-dimensional approximation of the underlying function-space problem.

Reading status

Priority

About this paper

Authors: Lorenzo Baldassari, Josselin Garnier, Knut Solna, Maarten V. de Hoop
Released: 2026-05-19 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because Dimension-Uniform Discretization Analysis of Preconditioned Annealed Langevin Dynamics for Multimodal Gaussian Mixtures overlaps with clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)", clean result "Training one persona to emit a [ZLT] marker without bystanders adopting it has a one-cell-wide LR x epochs window on Qwen2.5-7B-Instruct (LOW confidence)", clean result "The marker is a representational handle, not a behavioural one — sharing it between a villain persona and the assistant transfers no misalignment (HIGH confidence)". Matching terms: under, source, line, rate, control. Source: arxiv stat.ML (Machine Learning).
arXiv: 2605.16473

Ask Claude about this paper

Posts a comment with @claude so the runner spins up a Claude Code session scoped to Dimension-Uniform Discretization Analysis of Preconditioned Annealed Langevin Dynamics for Multimodal Gaussian Mixtures. Replies appear in the conversation below.

Comments

No comments yet.

Related records

No links yet.