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Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation., , , and . J. Mach. Learn. Res., (2003)The LRP Toolbox for Artificial Neural Networks., , , , and . J. Mach. Learn. Res., (2016)Estimating Functions for Blind Separation When Sources Have Variance Dependencies., and . J. Mach. Learn. Res., (2005)In Search of Non-Gaussian Components of a High-Dimensional Distribution., , , , and . J. Mach. Learn. Res., (2006)Learning how to explain neural networks: PatternNet and PatternAttribution., , , , , , and . ICLR (Poster), OpenReview.net, (2018)Forecasting Industrial Aging Processes with Machine Learning Methods., , , and . CoRR, (2020)Building and Interpreting Deep Similarity Models., , , , , and . CoRR, (2020)Learning representations of molecules and materials with atomistic neural networks., , and . CoRR, (2018)Machine Learning for Intrusion Detection., , and . NATO ASI Mining Massive Data Sets for Security, volume 19 of NATO Science for Peace and Security Series - D: Information and Communication Security, page 366-373. IOS Press, (2007)Towards robust explanations for deep neural networks., , , and . Pattern Recognit., (2022)