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stat.ML2016★ 25 cited
Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation
Wojciech Samek, Grégoire Montavon, Alexander Binder +2
Complex nonlinear models such as deep neural network (DNNs) have become an important tool for image classification, speech recognition, natural language processing, and many other…
stat.ML2012★ 69 cited
Learning Feature Hierarchies with Centered Deep Boltzmann Machines
Grégoire Montavon, Klaus-Robert Müller
Deep Boltzmann machines are in principle powerful models for extracting the hierarchical structure of data. Unfortunately, attempts to train layers jointly (without greedy layer-wi…