2 papers
cs.LG2026
Path-independent Flow Matching for Multi-parameter Generative Dynamics
Francisco Téllez, AmirHossein Zamani, Philippe Martin +5
Flow Matching is a powerful framework for learning transport maps between probability distributions. Yet its standard single-parameter formulation is not designed to capture multi-…
cs.AI2026
When AI Bends Metal: AI-Assisted Optimization of Design Parameters in Sheet Metal Forming
Ahmad Tarraf, Koutaiba Kassem-Manthey, Seyed Ali Mohammadi +6
Numerical simulations have revolutionized the industrial design process by reducing prototyping costs, design iterations, and enabling product engineers to explore the design space…