Publications

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2020

Petzka, Henning; Adilova, Linara; Kamp, Michael; Sminchisescu, Cristian

Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks (Unpublished)

2020.

(Links | BibTeX | Tags: deep learning, flatness, generalization, learning theory, loss surface, neural networks, robustness)

2019

Kamp, Michael

Black-Box Parallelization for Machine Learning (PhD Thesis)

Universitäts-und Landesbibliothek Bonn, 2019.

(Abstract | Links | BibTeX | Tags: averaging, black-box, communication-efficient, convex optimization, deep learning, distributed, dynamic averaging, federated, learning theory, machine learning, parallelization, privacy, radon machine)

Petzka, Henning; Adilova, Linara; Kamp, Michael; Sminchisescu, Cristian

A Reparameterization-Invariant Flatness Measure for Deep Neural Networks (Workshop)

Science meets Engineering of Deep Learning workshop at NeurIPS, 2019.

(Links | BibTeX | Tags: deep learning, flatness, generalization, learning theory, loss surface, neural networks, robustness)

2018

Kamp, Michael; Adilova, Linara; Sicking, Joachim; Hüger, Fabian; Schlicht, Peter; Wirtz, Tim; Wrobel, Stefan

Efficient Decentralized Deep Learning by Dynamic Model Averaging (Inproceedings)

Machine Learning and Knowledge Discovery in Databases, Springer, 2018.

(Abstract | Links | BibTeX | Tags: decentralized, deep learning, federated learning)