PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Marc Toussaint

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Number of EPrints submitted by this user: 17

Probabilistic inference for structured planning in robotics
Marc Toussaint and Christian Goerick
In: Int Conf on Intelligent Robots and Systems (IROS 2007), Nov 2007, San Diego.

Motion Segmentation Using Inference in Dynamic Bayesian Networks
Marc Toussaint, Volker Willert, Julian Eggert and Edgar Körner
In: British Machine Vision Conference (BMVC 2007), Aug 2007, Warwick, UK.

Optimization of sequential attractor-based movement for compact
Marc Toussaint, Michael Gienger and Christian Goerick
In: 7th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2007), Dec 2007, Pitsburgh.

Uncertainty Optimization for Robust Dynamic Optical Flow Estimation
Volker Willert, Marc Toussaint, Julian Eggert and Edgar Körner
In: The sixth Int Conf on Machine Learning and Applications (ICMLA 2007), Dec 2007, Cincinnati.

Bayesian Estimators for Robins-Ritov's Problem
Stefan Harmeling and Marc Toussaint
(2007) Technical Report. University of Edinburgh, School of Informatics Research Report.

Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint
V Willert, J Eggert, M Toussaint and E Körner
In: The seventh Int Conf on Machine Learning and Applications(2008).

Optimization of fluent approach and grasp motions
M Gienger, M Toussaint, N Jetchev, A Bendig and Ch Goerick
In: 8th IEEE-RAS International Conference on Humanoid Robots(2008).

Planning and Moving in Dynamic Environments - A Statistical Machine Learning Approach.
S Vijayakumar, M Toussaint, G Petkos and M Howard
In: Creating Brain-Like Intelligence, From Basic Principles to Complex Intelligent Systems Lecture Notes in Computer Science , 5436/2009 . (2009) Springer Berlin / Heidelberg , pp. 151-191. ISBN 978-3-642-00615-9

Task Maps in Humanoid Robot Manipulation
M Gienger, M Toussaint and Ch Goerick
In: International Conference on Intelligent RObots and Systems(2008).

Hierarchical POMDP Controller Optimization by Likelihood Maximization
M Toussaint, L Charlin and P Poupart
In: Uncertainty in Artificial Intelligence(2008).

Stochastic Optimal Control
Bert Kappen and Marc Toussaint
In: 25th International Conference on Machine Learning(2008).

Bayesian inference for motion control and planning
Marc Toussaint
(2008) Technical Report. Technical University Berlin, Technical Report.

An Approximate Inference Approach to Temporal Optimization in Optimal Control
Konrad Rawlik, Sethu Vijayakumar and Marc Toussaint
In: NIPS 2010, Dec 2010, Vancouver.

Planning with Noisy Probabilistic Relational Rules
Tobias Lang and Marc Toussaint
Journal of Artificial Intelligence Research 2010.

Exploration in Relational Worlds
Tobias Lang, Marc Toussaint and Kristian Kersting
In: ECML 2010(2010).

Probabilistic backward and forward reasoning in stochastic relational worlds
Tobias Lang and Marc Toussaint
In: ICML 2010(2010).

Integrated motor control, planning, grasping and high-level reasoning in a blocks world using probabilistic inference
Marc Toussaint, Nils Plath, Tobias Lang and Nikolay Jetchev
In: ICRA 2010(2010).