[2511.01464] Split-Flows: Measure Transport and Information Loss Across Molecular Resolutions

[2511.01464] Split-Flows: Measure Transport and Information Loss Across Molecular Resolutions

arXiv - Machine Learning 3 min read

About this article

Abstract page for arXiv paper 2511.01464: Split-Flows: Measure Transport and Information Loss Across Molecular Resolutions

Physics > Chemical Physics arXiv:2511.01464 (physics) [Submitted on 3 Nov 2025 (v1), last revised 26 Mar 2026 (this version, v2)] Title:Split-Flows: Measure Transport and Information Loss Across Molecular Resolutions Authors:Sander Hummerich, Tristan Bereau, Ullrich Köthe View a PDF of the paper titled Split-Flows: Measure Transport and Information Loss Across Molecular Resolutions, by Sander Hummerich and 2 other authors View PDF HTML (experimental) Abstract:By reducing resolution, coarse-grained models greatly accelerate molecular simulations, unlocking access to long-timescale phenomena, though at the expense of microscopic information. Recovering this fine-grained detail is essential for tasks that depend on atomistic accuracy, making backmapping a central challenge in molecular modeling. We introduce split-flows, a novel flow-based approach that reinterprets backmapping as a continuous-time measure transport across resolutions. Unlike existing generative strategies, split-flows establish a direct probabilistic link between resolutions, enabling expressive conditional sampling of atomistic structures and -- for the first time -- a tractable route to computing mapping entropies, an information-theoretic measure of the irreducible detail lost in coarse-graining. We demonstrate these capabilities on diverse molecular systems, including chignolin, a lipid bilayer, and alanine dipeptide, highlighting split-flows as a principled framework for accurate backmapping and systema...

Originally published on March 27, 2026. Curated by AI News.

Related Articles

UMKC Announces New Master of Science in Artificial Intelligence
Ai Infrastructure

UMKC Announces New Master of Science in Artificial Intelligence

UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...

AI News - General · 4 min ·
Machine Learning

[D] Looking for definition of open-world ish learning problem

Hello! Recently I did a project where I initially had around 30 target classes. But at inference, the model had to be able to handle a lo...

Reddit - Machine Learning · 1 min ·
Mystery Shopping Meets Machine Learning: Can Algorithms Become the Ultimate Customer Experience Auditor?
Machine Learning

Mystery Shopping Meets Machine Learning: Can Algorithms Become the Ultimate Customer Experience Auditor?

Customer expectations across Africa are shifting faster than most organisations can track. A single inconsistent interaction can ignite a...

AI News - General · 8 min ·
Machine Learning

GitHub to Use User Data for AI Training by Default

submitted by /u/i-drake [link] [comments]

Reddit - Artificial Intelligence · 1 min ·
More in Machine Learning: This Week Guide Trending

No comments

No comments yet. Be the first to comment!

Stay updated with AI News

Get the latest news, tools, and insights delivered to your inbox.

Daily or weekly digest • Unsubscribe anytime