23 results
(BibTeX)

**Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference ** In: *JMLR Workshop and Conference Proceedings Volume 15: AISTATS 2011*, 652-660, MIT Press, Cambridge, MA, USA, 14th International Conference on Artificial Intelligence and Statistics
(In Proceedings)

**Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models** *SIAM Journal on Imaging Sciences*, 4(1):166-199
(Article)

**Model based reconstruction for GRE EPI** *Magnetic Resonance Materials in Physics, Biology and Medicine*, 24(Supplement 1):493-494, 28th Annual Scientific Meeting ESMRMB 2011
(Poster)

**Multiple Kernel Learning: A Unifying Probabilistic Viewpoint** Max Planck Institute for Biological Cybernetics
(Technical Report)

**Large Scale Variational Inference and Experimental Design for Sparse Generalized Linear Models** Max Planck Institute for Biological Cybernetics
(Technical Report)

**Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference** Max Planck Institute for Biological Cybernetics
(Technical Report)

**Optimization of k-Space Trajectories for Compressed Sensing by Bayesian Experimental Design** *Magnetic Resonance in Medicine*, 63(1):116-126
(Article)

**Real-Time Local GP Model Learning** In: *From Motor Learning to Interaction Learning in Robots*, 193-207, Springer, Berlin, Germany
(Book Chapter)

**Local Gaussian Process Regression for Real Time Online Model Learning and Control** In: *Advances in neural information processing systems 21*, *Advances in neural information processing systems 21 : 22nd Annual Conference on Neural Information Processing Systems 2008*, 1193-1200, Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008)
(In Proceedings)

**Optimization of k-Space Trajectories by Bayesian Experimental Design** 17(2627), 17th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2009)
(Poster)

**Model Learning with Local Gaussian Process Regression** *Advanced Robotics*, 23(15):2015-2034
(Article)

**Cross-validation Optimization for Large Scale Structured Classification Kernel Methods** *Journal of Machine Learning Research*, 9, 1147-1178
(Article)

**Bayesian Inference for Spiking Neuron Models with a Sparsity Prior** In: *Advances in neural information processing systems 20*, *Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007*, 529-536, Curran, Red Hook, NY, USA, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007)
(In Proceedings)

**Learning Inverse Dynamics: A Comparison** In: *Advances in Computational Intelligence and Learning: Proceedings of the European Symposium on Artificial Neural Networks*, *Advances in Computational Intelligence and Learning: Proceedings of the European Symposium on Artificial Neural Networks (ESANN 2008)*, 13-18, d-side, Evere, Belgium, 16th European Symposium on Artificial Neural Networks (ESANN 2008)
(In Proceedings)

**Computed Torque Control with Nonparametric Regression Models** In: *ACC 2008*, *Proceedings of the 2008 American Control Conference (ACC 2008)*, 212-217, IEEE Service Center, Piscataway, NJ, USA, 2008 American Control Conference
(In Proceedings)

**Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods** In: *Advances in Neural Information Processing Systems 19*, *Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference*, 1233-1240, MIT Press, Cambridge, MA, USA, Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006)
(In Proceedings)

**Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models** *BMC Systems Biology*, 1(51):1-15
(Article)

**Bayesian Inference and Optimal Design in the Sparse Linear Model** In: *JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007*, *Proceedings of the 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007)*, 444-451, JMLR, Cambridge, MA, USA, 11th International Conference on Artificial Intelligence and Statistics
(In Proceedings)

**Bayesian Inference for Sparse Generalized Linear Models** In: *ECML 2007*, *Machine Learning: ECML 2007*, 298-309, Springer, Berlin, Germany, 18th European Conference on Machine Learning
(In Proceedings)

**Bayesian Neural System identification: error bars, receptive fields and neural couplings** *31st Göttingen Neurobiology Conference*, 31, 360
(Poster)