Running neural nets backwards

TODO. Various techniques in β€œrunning networks backwards”, definition later.

Prior regularisations for ill-posed inverse problems.

Deep dreams probably fit here (Mahendran and Vedaldi 2015; Simonyan, Vedaldi, and Zisserman 2014; Yosinski et al. 2015). For more on that see Inceptionism: Going Deeper into Neural Networks.

I wonder if the reversible architectures (Chang et al. 2018) method gets us anything here?

My focus is more on inverse problems.

Let us run it backwards.


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