Training of Sparsely Connected MLPs. - Markus Thom; Roland Schweiger; Günther Palm (DAGM-Symposium, 2011)

Supervised Matrix Factorization with sparseness constraints and fast inference. - Markus Thom; Roland Schweiger; Günther Palm (IJCNN, 2011)

Influence of image compression on cascade classifier components. - Raimar Wagner; Markus Thom; Roland Schweiger; Michael Gabb; Amrei Röhlig; Albrecht Rothermel (SISY, 2012)

Image compression with discriminative dictionaries. - Raimar Wagner; Markus Thom; Michael Gabb; Christian Feller; Roland Schweiger; Albrecht Rothermel (ICCE-Berlin, 2013)

Learning convolutional neural networks from few samples. - Raimar Wagner; Markus Thom; Roland Schweiger; Günther Palm; Albrecht Rothermel (IJCNN, 2013)

Convolutional Neural Networks for night-time animal orientation estimation. - Raimar Wagner; Markus Thom; Michael Gabb; Matthias Limmer; Roland Schweiger; Albrecht Rothermel (Intelligent Vehicles Symposium, 2013)

Efficient Sparseness-Enforcing Projections - Markus Thom; Günther Palm (CoRR, 2013)

Sparse activity and sparse connectivity in supervised learning. - Markus Thom; Günther Palm (J. Mach. Learn. Res., 2013)

Fusion of laser and monocular camera data in object grid maps for vehicle environment perception. - Dominik Nuss; Markus Thom; Andreas Danzer; Klaus Dietmayer (FUSION, 2014)

Semi-Markov Process Based Localization Using Radar in Dynamic Environments. - Matthias Rapp; Markus Hahn; Markus Thom; Jürgen Dickmann; Klaus Dietmayer (ITSC, 2015)

A Theory for Rapid Exact Signal Scanning with Deep Multi-Scale Convolutional Neural Networks. - Markus Thom; Franz Gritschneder (CoRR, 2015)

Efficient Dictionary Learning with Sparseness-Enforcing Projections. - Markus Thom; Matthias Rapp; Günther Palm (Int. J. Comput. Vis., 2015)

Sparse neural networks. - Markus Thom (2015)

Adaptive learning based on guided exploration for decision making at roundabouts. - Franz Gritschneder; Patrick Hatzelmann; Markus Thom; Felix Kunz; Klaus Dietmayer (Intelligent Vehicles Symposium, 2016)

Rapid Exact Signal Scanning With Deep Convolutional Neural Networks. - Markus Thom; Franz Gritschneder (IEEE Trans. Signal Process., 2017)

A random finite set approach for dynamic occupancy grid maps with real-time application. - Dominik Nuss; Stephan Reuter; Markus Thom; Ting Yuan; Gunther Krehl; Michael Maile; Axel Gern; Klaus Dietmayer (Int. J. Robotics Res., 2018)