arxiv
PublishedMay 29, 2026 at 4:00 AM
—neutral
Measure flow path recovery in Bayes Hilbert spaces
Publisher summary· verbatim
arXiv:2603.20329v2 Announce Type: replace-cross Abstract: We study the ill-posed problem of recovering a probability measure flow from finitely many moving localized sensors using a Bayes Hilbert framework. Relative to a fixed reference probability measure, a probability law is represented by its ce
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivADS-C: Antidistillation Sampling for Classification16harxivBeyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes16harxivFrom Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems16harxivA Formally Grounded ODRL Evaluator: Implementation and Comparison16hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗