Running neural nets backwards

January 29, 2022 — January 29, 2022

dynamical systems
linear algebra
machine learning
neural nets
signal processing
sparser than thou
stochastic processes

TODO. Various techniques in “running networks backwards”, definition later.

Figure 1

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.

Figure 2: Let us run it backwards.

1 References

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