Thomas Villmann

Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks

Mar 09, 2019
Sascha Saralajew , Lars Holdijk , Maike Rees , Thomas Villmann

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* to be published in 13th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization

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Prototype-based Neural Network Layers: Incorporating Vector Quantization

Jan 18, 2019
Sascha Saralajew , Lars Holdijk , Maike Rees , Thomas Villmann

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Activation Functions for Generalized Learning Vector Quantization - A Performance Comparison

Jan 17, 2019
Thomas Villmann , John Ravichandran , Andrea Villmann , David Nebel , Marika Kaden

Figure 2 for Activation Functions for Generalized Learning Vector Quantization - A Performance Comparison

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Regularization in Relevance Learning Vector Quantization Using l one Norms

Oct 18, 2013
Martin Riedel , Marika Kästner , Fabrice Rossi , Thomas Villmann

* 21-th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2013), Bruges : Belgium (2013)

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Thomas Villmann

Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks

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Prototype-based Neural Network Layers: Incorporating Vector Quantization

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Activation Functions for Generalized Learning Vector Quantization - A Performance Comparison

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Regularization in Relevance Learning Vector Quantization Using l one Norms

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