• Corpus ID: 235446566

Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate

@inproceedings{Sun2021AmortizedSO,
  title={Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate},
  author={Xingyuan Sun and Tianju Xue and Szymon M. Rusinkiewicz and Ryan P. Adams},
  booktitle={NeurIPS},
  year={2021}
}
In design, fabrication, and control problems, we are often faced with the task of synthesis, in which we must generate an object or configuration that satisfies a set of constraints while maximizing one or more objective functions. The synthesis problem is typically characterized by a physical process in which many different realizations may achieve the goal. This many-to-one map presents challenges to the supervised learning of feed-forward synthesis, as the set of viable designs may have a… 
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