End-to-End Differentiable Diffusion Conditioning for Physics-Informed Optimization
arXiv:2610.31721v1 Announce Type: new Abstract: Optimizing high-dimensional physical systems under expensive evaluations and complex constraints is a central challenge in science and engineering. In offline model-based optimization (MBO), methods must improve designs using only a fixed dataset and…
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- 2026-10-26 04:00 · arXiv cs.LG
End-to-End Differentiable Diffusion Conditioning for Physics-Informed Optimization