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cs.LG2026
D-JEPA: Design-Recoverable JEPA Representation with Swappable Physics Decoders
Nitin Nagesh Kulkarni, Aashwin Anand Mishra, Yin Yu +1
Joint-Embedding Predictive Architectures (JEPAs) provide a framework for learning compact representations without directly reconstructing high-dimensional observations. However, in…
cs.LG2026
A Data Fusion Framework for Grounding Aerospace Surrogate Model via Experimental Wind-Tunnel Observations
Nitin Nagesh Kulkarni, Dheeraj Vemula, Yin Yu +2
Aerodynamic surrogate models trained on high-fidelity CFD data reproduce numerical predictions of both scalar outputs and entire fields accurately, yet their predictive fidelity is…