207 citations · 264 across the 10 of their papers we have counts for
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cs.LG2019★ 7 cited
Truth or Backpropaganda? An Empirical Investigation of Deep Learning Theory
Micah Goldblum, Jonas Geiping, Avi Schwarzschild +2
We empirically evaluate common assumptions about neural networks that are widely held by practitioners and theorists alike. In this work, we: (1) prove the widespread existence of…
math.OC2019
Parametric Majorization for Data-Driven Energy Minimization Methods
Jonas Geiping, Michael Moeller
Energy minimization methods are a classical tool in a multitude of computer vision applications. While they are interpretable and well-studied, their regularity assumptions are dif…