all AI news
Geometry-Aware Normalizing Wasserstein Flows for Optimal Causal Inference
Feb. 2, 2024, 9:47 p.m. | Kaiwen Hou
cs.LG updates on arXiv.org arxiv.org
causal inference continuous cs.lg data data-driven distribution geometry groundbreaking inference likelihood maximum likelihood estimation paper parametric refine sensitivity stat.ml
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne