all AI news
Manifold Topology Divergence: a Framework for Comparing Data Manifolds. (arXiv:2106.04024v2 [cs.LG] CROSS LISTED)
June 30, 2022, 1:11 a.m. | Serguei Barannikov, Ilya Trofimov, Grigorii Sotnikov, Ekaterina Trimbach, Alexander Korotin, Alexander Filippov, Evgeny Burnaev
cs.LG updates on arXiv.org arxiv.org
We develop a framework for comparing data manifolds, aimed, in particular,
towards the evaluation of deep generative models. We describe a novel tool,
Cross-Barcode(P,Q), that, given a pair of distributions in a high-dimensional
space, tracks multiscale topology spacial discrepancies between manifolds on
which the distributions are concentrated. Based on the Cross-Barcode, we
introduce the Manifold Topology Divergence score (MTop-Divergence) and apply it
to assess the performance of deep generative models in various domains: images,
3D-shapes, time-series, and on different datasets: …
More from arxiv.org / cs.LG updates on arXiv.org
Regularization by Texts for Latent Diffusion Inverse Solvers
1 day, 19 hours ago |
arxiv.org
When can transformers reason with abstract symbols?
1 day, 19 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Data Scientist (m/f/x/d)
@ Symanto Research GmbH & Co. KG | Spain, Germany
Enterprise Data Quality, Senior Analyst
@ Toyota North America | Plano
Data Analyst & Audit Management Software (AMS) Coordinator
@ World Vision | Philippines - Home Working
Product Manager Power BI Platform Tech I&E Operational Insights
@ ING | HBP (Amsterdam - Haarlerbergpark)
Sr. Director, Software Engineering, Clinical Data Strategy
@ Moderna | USA-Washington-Seattle-1099 Stewart Street
Data Engineer (Data as a Service)
@ Xplor | Atlanta, GA, United States