all AI news
A practical existence theorem for reduced order models based on convolutional autoencoders
Feb. 2, 2024, 3:46 p.m. | Nicola Rares Franco Simone Brugiapaglia
cs.LG updates on arXiv.org arxiv.org
autoencoders cs.ai cs.lg cs.na data data-driven deep learning differential domain fields math.na modeling networks neural networks operators physics physics-informed practical theorem
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
DevOps Engineer (Data Team)
@ Reward Gateway | Sofia/Plovdiv