2 papers
cs.LG2025
Attention to Detail: Fine-Scale Feature Preservation-Oriented Geometric Pre-training for AI-Driven Surrogate Modeling
Yu-hsuan Chen, Jing Bi, Cyril Ngo Ngoc +3
AI-driven surrogate modeling has become an increasingly effective alternative to physics-based simulations for 3D design, analysis, and manufacturing. These models leverage data-dr…
cs.LG2024
VIRL: Volume-Informed Representation Learning towards Few-shot Manufacturability Estimation
Yu-hsuan Chen, Jonathan Cagan, Levent Burak kara
Designing for manufacturing poses significant challenges in part due to the computation bottleneck of Computer-Aided Manufacturing (CAM) simulations. Although deep learning as an a…