Exploiting local structure in stacked Boltzmann machines. - Hannes Schulz; Andreas C. Müller 001; Sven Behnke (ESANN, 2010)

Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition. - Dominik Scherer; Andreas C. Müller 001; Sven Behnke (ICANN (3), 2010)

Topological features in locally connected RBMs. - Andreas C. Müller 001; Hannes Schulz; Sven Behnke (IJCNN, 2010)

Multi-instance Methods for Partially Supervised Image Segmentation. - Andreas C. Müller 001; Sven Behnke (PSL, 2011)

Exploiting local structure in Boltzmann machines. - Hannes Schulz; Andreas C. Müller 001; Sven Behnke (Neurocomputing, 2011)

Information Theoretic Clustering Using Minimum Spanning Trees. - Andreas C. Müller 001; Sebastian Nowozin; Christoph H. Lampert (DAGM/OAGM Symposium, 2012)

Learning a Loopy Model For Semantic Segmentation Exactly. - Andreas Christian Müller; Sven Behnke (CoRR, 2013)

Learning depth-sensitive conditional random fields for semantic segmentation of RGB-D images. - Andreas C. Müller 001; Sven Behnke (ICRA, 2014)

Learning a Loopy Model Exactly. - Andreas Christian Müller; Sven Behnke (VISAPP (2), 2014)

PyStruct: learning structured prediction in python. - Andreas C. Müller 001; Sven Behnke (J. Mach. Learn. Res., 2014)

Methods for learning structured prediction in semantic segmentation of natural images. - Andreas Christian Müller (2014)

Hyperparameter Importance for Image Classification by Residual Neural Networks. - Abhinav Sharma; Jan N. van Rijn; Frank Hutter; Andreas Müller 004 (DS, 2019)

OpenML-Python: an extensible Python API for OpenML. - Matthias Feurer; Jan N. van Rijn; Arlind Kadra; Pieter Gijsbers; Neeratyoy Mallik; Sahithya Ravi; Andreas Müller 004; Joaquin Vanschoren; Frank Hutter (J. Mach. Learn. Res., 2021)