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Learning Weakly Convex Sets in Metric Spaces


May 10, 2021
Eike Stadtländer, Tamás Horváth, Stefan Wrobel


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A Generalized Weisfeiler-Lehman Graph Kernel


Jan 20, 2021
Till Hendrik Schulz, Tamás Horváth, Pascal Welke, Stefan Wrobel

* n/a 

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A Novel Regression Loss for Non-Parametric Uncertainty Optimization


Jan 07, 2021
Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel

* Accepted at the 3rd Symposium on Advances in Approximate Bayesian Inference (AABI), code is available on: https://github.com/fraunhofer-iais/second-moment-loss. arXiv admin note: substantial text overlap with arXiv:2012.12687 

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Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties


Dec 23, 2020
Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel

* Code is available on: https://github.com/fraunhofer-iais/second-moment-loss 

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Learning Syllogism with Euler Neural-Networks


Jul 20, 2020
Tiansi Dong, Chengjiang Li, Christian Bauckhage, Juanzi Li, Stefan Wrobel, Armin B. Cremers

* 16 pages, 6 figures 

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Maximal Closed Set and Half-Space Separations in Finite Closure Systems


Jan 13, 2020
Florian Seiffarth, Tamas Horvath, Stefan Wrobel

* An early version of this paper was presented in ECML/PKDD 2019 and will appear in the Proc. of ECML/PKDD 2019 

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Efficient Decentralized Deep Learning by Dynamic Model Averaging


Jul 09, 2018
Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel


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Adiabatic Quantum Computing for Binary Clustering


Jun 17, 2017
Christian Bauckhage, Eduardo Brito, Kostadin Cvejoski, Cesar Ojeda, Rafet Sifa, Stefan Wrobel


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Using Echo State Networks for Cryptography


Apr 04, 2017
Rajkumar Ramamurthy, Christian Bauckhage, Krisztian Buza, Stefan Wrobel

* 8 pages, ICANN 2017 

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