Publications

anomaly detection batch normalization biology black-box parallelization co-regularization communication-efficient corresponding projections decentralized deep learning DiSIEM distributed distributed learning dynamic averaging federated federated learning flatness generalization learning theory loss surface machine learning neural networks parallelization radon resource-efficient robustness security transfer learning uncertainty unsupervised visualization

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2020

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

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

2020.

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

2019

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)