2 citations · 2 across the 4 of their papers we have counts for
6 papers
Discriminating Against Unrealistic Interpolations in Generative Adversarial Networks
Henning Petzka, Ted Kronvall, Cristian Sminchisescu
Interpolations in the latent space of deep generative models is one of the standard tools to synthesize semantically meaningful mixtures of generated samples. As the generator func…
A Reparameterization-Invariant Flatness Measure for Deep Neural Networks
Henning Petzka, Linara Adilova, Michael Kamp +1
The performance of deep neural networks is often attributed to their automated, task-related feature construction. It remains an open question, though, why this leads to solutions…
Non-attracting Regions of Local Minima in Deep and Wide Neural Networks
Henning Petzka, Cristian Sminchisescu
Understanding the loss surface of neural networks is essential for the design of models with predictable performance and their success in applications. Experimental results suggest…
Comparison Properties of the Cuntz semigroup and applications to C*-algebras
Joan Bosa, Henning Petzka
We study comparison properties in the category Cu aiming to lift results to the C*-algebraic setting. We introduce a new comparison property and relate it to both the CFP and -c…
The Blackadar-Handelman theorem for non-unital C*-algebras
Henning Petzka
A well-known theorem of Blackadar and Handelman states that every unital stably finite C*-algebra has a bounded quasitrace. Rather strong generalizations of stable finiteness to th…
On certain multiplier projections
Henning Petzka
Let $\MCZK$, denote the multiplier algebra over $\CZK$, the algebra of continuous functions into the compact operators with spectrum the infinite product of two-spheres. We conside…