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Room number:	208
E-Mail:	lehel.csato

Position: Research Scientist Unit: Alumni Schölkopf

Articles (2):
•	Cornford D , Csato L , Evans D and Opper M (2004) Bayesian analysis of the Scatterometer Wind Retrieval Inverse Problem: Some New Approaches Journal of the Royal Statistical Society B 66 1-17.
•	Csato L , Opper M and Winther O (April-2003) Tractable Inference for Probabilistic Data Models Complexity 8(4) 64-68.
Conference papers (3):
•	Bócsi B , Hennig P , Csató L and Peters J (May-2012) Learning Tracking Control with Forward Models IEEE International Conference on Robotics and Automation (ICRA 2012), 1-6. accepted
•	Bocsi B , Nguyen-Tuong D , Csato L , Schölkopf B and Peters J (September-2011) Learning inverse kinematics with structured prediction IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), IEEE, Piscataway, NJ, USA, 698-703.
•	Csato L and Opper M (August-2003) Sparse Gaussian Processes: inference, subspace identification and model selection 13th IFAC Symposium on System Identifiaction, The Netherlands, 1-6.
Technical reports (1):
•	Kuss M , Pfingsten T , Csato L and Rasmussen CE : Approximate Inference for Robust Gaussian Process Regression, 136, (2005).
Posters (1):
•	Csato L (December-2003): Sparse Gaussian Process Tooblox - Demonstration.