Stream-Based Active Learning with Cooperative Neural Networks for Data-Efficient Partial Inverse Design: An Automotive Glass Run Channel Case Study

arXiv:2610.09848 · cs.LG, cs.AI · Submitted 2026-10-07 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-10-07

Updated: 2026-10-07

Comments: 21 pages, 12 figures, 3 tables

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Active Learning — 1× in this paper · explained in 6 episodes
• Inverse Design — 1× in this paper · explained in 2 episodes

Sources

• Partial Inverse Design of High-Performance Concrete Using Cooperative Neural Networks for Constraint-Aware Mix Generation
• Auto-Encoding Variational Bayes
• Wasserstein Auto-Encoders

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