Publications

Please check out the bottom of this website for my:
  • podcasts
  • professional industry journal articles
  • blog articles

Scientific articles

F. Decroos, S. Springenberg, T. Lang, M. Päpper, A. Zapf, D. Metze, V. Steinkraus, A. Böer-Auer
A Deep Learning Approach for Histopathological Diagnosis of Onychomycosis: Not Inferior to Analogue Diagnosis by Histopathologists
Acta Dermato-Venereologica
2021
PDF (Journal website)    
Tobias Lang, Matthias Rettenmeier
Understanding Consumer Behavior with Recurrent Neural Networks
Int. Workshop on Machine Learning Methods for Recommender Systems (MLRec@SDM)
2017
PDF    
Tobias Lang, Florian Flachsenberg, Ulrike von Luxburg, Matthias Rarey
Feasibility of Active Machine Learning for Multiclass Compound Classification
Journal of Chemical Information and Modeling (JCIM)
2016
Journal website
Sebastian Höfer, Tobias Lang, Oliver Brock
Extracting Kinematic Background Knowledge from Interactions Using Task-Sensitive Relational Learning
Int. Conference on Robotics and Automation (ICRA)
2014
PDF    
Johannes Kulick, Marc Toussaint, Tobias Lang, Manuel Lopes
Active Learning for Teaching a Robot Grounded Relational Symbols
Int. Joint Conf. on Artificial Intelligence (IJCAI)
2013
PDF    
Nikolay Jetchev, Tobias Lang, Marc Toussaint
Learning Grounded Relational Symbols from Continuous Data for Abstract Reasoning
Int. Conference on Robotics and Automation (ICRA) - Workshop on Autonomous Learning
2013
PDF    
Tobias Lang, Marc Toussaint, Kristian Kersting
Exploration in Relational Domains for Model-based Reinforcement Learning
Journal of Machine Learning Research (JMLR)
2012, Volume 13, pages 3725-3768
PDF    Bibtex    JMLR website
Manuel Lopes, Tobias Lang, Marc Toussaint, Pierre-Yves Oudeyer
Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress
Neural Information Processing Systems (NIPS)
2012
PDF    
Tobias Lang
Planning and Exploration in Stochastic Relational Worlds
Ph.D. Thesis, Freie Universität Berlin
2011
PDF    Bibtex
Pascal Poupart, Tobias Lang, Marc Toussaint
Analyzing and Escaping Local Optima in Planning as Inference for Partially Observable Domains
European Conference on Machine Learning (ECML)
2011
PDF     Bibtex      
Tobias Lang, Marc Toussaint
Planning with Noisy Probabilistic Relational Rules
Journal of Artificial Intelligence Research (JAIR)
2010, Volume 39, pages 1-49
PDF    Bibtex    JAIR website
Code, simulator movies and additional material
Tobias Lang, Marc Toussaint, Kristian Kersting
Exploration in relational worlds
European Conference on Machine Learning (ECML)
2010
PDF    Bibtex      
Simulator movies
Tobias Lang, Marc Toussaint
Probabilistic backward and forward reasoning in stochastic relational worlds
International Conference on Machine Learning (ICML)
2010
PDF     Bibtex
Marc Toussaint, Nils Plath, Tobias Lang, Nikolay Jetchev
Integrated motor control, planning, grasping and high-level reasoning in a blocks world using probabilistic inference
Int. Conference on Robotics and Automation (ICRA)
2010
PDF     Bibtex      
Tobias Lang, Marc Toussaint
Relevance grounding for planning in relational domains
European Conference on Machine Learning (ECML)
2009
PDF    Bibtex       Video lecture
Simulator movies
Tobias Lang, Marc Toussaint
Approximate inference for planning in stochastic relational worlds
International Conference on Machine Learning (ICML)
2009
PDF    Bibtex     Video lecture
Code, simulator movies and additional material
Tobias Lang, Christian Plagemann, Wolfram Burgard
Adaptive Non-Stationary Kernel Regression for Terrain Modeling
Robotics: Science and Systems (RSS)
2007
PDF    Bibtex
Tobias Lang
Gaussian Processes for Terrain Modeling
M.Sc. Thesis, Albert-Ludwigs-University Freiburg
2007
PDF    Bibtex
Christian Kaul, Johannes Knabe, Tobias Lang, Volker Sperschneider
Filtering Spam E-Mail with Support Vector Machines
PICS - Publications of the Institute of Cognitive Science, University of Osnabrück, Volume 8.
2004
PDF    Bibtex

Podcasts, professional journals and blogs

Podcast
Datenkasper-Podcast mit Mindpeak CTO & Co-Founder Dr. Tobias Lang
Topics: AI in Pathology and Mindpeak
On Datenkasper website    
On Spotify    
2022
Holger Hauspurg, Tobias Lang
Maschinelles Lernen und digitale Pathologie
Journal Onkologie 4/2021
2021
PDF    
Burkhardt Funk, Matthias Rettenmeier, Tobias Lang
Deep Learning auf sequenziellen Daten als Grundlage unternehmerischer Entscheidungen
Wirtschaftsinformatik & Management 5/2017
2017
Homepage Springer    
Manuskript
Tobias Lang, Matthias Rettenmeier
Deep Learning in Production for Predicting Consumer Behavior
Zalando Tech-Blog
2017
Tobias Lang
Deep Learning for Understanding Consumer Histories
Zalando Tech-Blog
Video at code.talks 2016
2016
Marc Toussaint, Tobias Lang, Nikolay Jetchev
Kognitive Robotik - Herausforderungen an unser Verständnis natürlicher Umgebungen
at-Automatisierungstechnik
2013
PDF