Universität Bonn: Autonomous Intelligent Systems Group   Computer Science Institute VI: Autonomous Intelligent Systems

Deep Learning Publications

2011

Andreas Müller and Sven Behnke:
Multi-Instance Methods for Partially Supervised Image Segmentation
In Proceedings of First IAPR Workshop on Partially Supervised Learning (PSL), Ulm, September 2011.

Hannes Schulz and Sven Behnke:
Object-Class Segmentation using Deep Convolutional Neural Networks
DAGM Workshop on New Challenges in Neural Computation (NC2), Frankfurt, August 2011.

Hannes Schulz, Andreas Müller, and Sven Behnke:
Exploiting Local Structure in Boltzmann Machines
Neurocomputing 74(9):1411-1417, Elsevier, April 2011.

2010

Hannes Schulz, Andreas Müller, and Sven Behnke:
Investigating Convergence of Restricted Boltzmann Machine Learning
In Proceedings of NIPS Workshop on Deep Learning and Unsupervised Feature Learning, Whistler, Canada, December 2010.

Dominik Scherer, Andreas Müller, and Sven Behnke:
Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition
In Proceedings of 20th International Conference on Artificial Neural Networks (ICANN), Thessaloniki, Greece, September 2010.

Dominik Scherer, Hannes Schulz, and Sven Behnke:
Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors
In Proceedings of 20th International Conference on Artificial Neural Networks (ICANN), Thessaloniki, Greece, September 2010.

Andreas Müller, Hannes Schulz, and Sven Behnke:
Topological Features in Locally Connected RBMs
In Proceedings of International Joint Conference on Neural Networks (IJCNN), July 2010.

Hannes Schulz, Andreas Müller, and Sven Behnke:
Exploiting local structure in stacked Boltzmann machines
In Proceedings of European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium, April 2010.

2009

Dominik Scherer and Sven Behnke:
Accelerating Large-scale Convolutional Neural Networks with Parallel Graphics Multiprocessors
In Proceeding of NIPS Workshop on Large-Scale Machine Learning: Parallelism and Massive Datasets, Whistler, Canada, December 2009.

Rafael Uetz and Sven Behnke:
Locally-Connected Hierarchical Neural Networks for GPU-accelerated Object Recognition
In Proceeding of NIPS Workshop on Large-Scale Machine Learning: Parallelism and Massive Datasets, Whistler, Canada, December 2009.

Rafael Uetz and Sven Behnke:
Large-scale Object Recognition with CUDA-accelerated Hierarchical Neural Networks
In Proceedings of the 1st IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS), Shanghai, China, November 2009.

Universität Bonn, Institute for Computer Science, Departments: I, II, III, IV, V, VI