Autoinverse: Uncertainty Aware Inversion of Neural Networks. (arXiv:2208.13780v1 [cs.LG])

Neural networks are powerful surrogates for numerous forward processes. The
inversion of such surrogates is extremely valuable in science and engineering.
The most important property of a successful neural inverse method is the
performance of its solutions when deployed in the real world, i.e., on the
native forward process (and not only the learned surrogate). We propose
Autoinverse, a highly automated approach for inverting neural network
surrogates. Our main insight is to seek inverse solutions in the vicinity of
reliable …

arxiv networks neural networks uncertainty