Running neural nets backwards
January 29, 2022 — January 29, 2022
dynamical systems
linear algebra
machine learning
neural nets
optimization
regression
signal processing
sparser than thou
statmech
stochastic processes
Various techniques in “running networks backwards,” definition later.
Prior regularizations 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.
1 References
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