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Dr. Carl Edward Rasmussen

Address: Spemannstr. 38
72076 Tübingen
Fax: +49-7071-601-552
E-Mail: carl
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Picture of Rasmussen, Carl Edward, Dr.

Carl Edward Rasmussen

Position: Research Scientist  Unit: Alumni Schölkopf

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Books (1):

•
Rasmussen CE Person and Williams CKI : Gaussian Processes for Machine Learning, 248, MIT Press, Cambridge, MA, USA, (2006).

Proceedings (1):

• Rasmussen CE Person, Bülthoff HH Person, Giese MA Person and Schölkopf B Person: Pattern Recognition: 26th DAGM Symposium, LNCS, Vol. 3175, 26th Pattern Recognition Symposium, 581 pages, Springer, Berlin, Germany, (2004).

978-3-540-22945-2

Articles (13):

• Rasmussen CE Person and Nickisch H Person (2010) Gaussian Processes for Machine Learning (GPML) Toolbox Journal of Machine Learning Research 11 3011-3015.
• Görür D Person and Rasmussen CE Person (2010) Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution Journal of Computer Science and Technology 25(4) 653-664.
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• Lázaro-Gredilla M , Quiñonero-Candela J Person, Rasmussen CE Person and Figueiras-Vidal AR (2010) Sparse Spectrum Gaussian Process Regression Journal of Machine Learning Research 11 1865-1881.
• Rasmussen CE Person, de la Cruz BJ , Ghahramani Z and Wild DL (2009) Modeling and Visualizing Uncertainty in Gene Expression Clusters using Dirichlet Process Mixtures IEEE/ACM Transactions on Computational Biology and Bioinformatics 6(4) 615-628.
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• Deisenroth MP Person, Rasmussen CE Person and Peters J Person (2009) Gaussian Process Dynamic Programming Neurocomputing 72(7-9) 1508-1524.
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• Nickisch H Person and Rasmussen CE Person (2008) Approximations for Binary Gaussian Process Classification Journal of Machine Learning Research 9 2035-2078.
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• Sonnenburg S Person, Braun ML , Ong CS Person, Bengio S , Bottou L , Holmes G , LeCun Y , Müller K-R Person, Pereira F , Rasmussen CE Person, Rätsch G Person, Schölkopf B Person, Smola A , Vincent P , Weston J Person and Williamson RC (2007) The Need for Open Source Software in Machine Learning Journal of Machine Learning Research 8 2443-2466.
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• Pfingsten T Person, Herrmann D Person and Rasmussen CE Person (2006) Model-based Design Analysis and Yield Optimization IEEE Transactions on Semiconductor Manufacturing 19(4) 475-486.
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• Quinonero Candela J Person and Rasmussen CE Person (2005) A Unifying View of Sparse Approximate Gaussian Process Regression Journal of Machine Learning Research 6 1935-1959.
• Kuss M Person and Rasmussen C Person (2005) Assessing Approximate Inference for Binary Gaussian Process Classification Journal of Machine Learning Research 6 1679.
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• Andersen IK , Szymkowiak A , Rasmussen CE Person, Hanson LG , Marstrand JR , Larsson HBW and Hansen LK (2002) Perfusion Quantification using Gaussian Process Deconvolution Magnetic Resonance in Medicine (48) 351-361.
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• Hansen LK and Rasmussen CE Person (1994) Pruning from Adaptive Regularization Neural Computation 6(6) 1222-1231.
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• Rasmussen CE Person and Willshaw DJ (1993) Presynaptic and Postsynaptic Competition in models for the Development of Neuromuscular Connections Biological Cybernetics 68 409-419.
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Conference papers (35):

• Duvenaud D , Nickisch H Person and Rasmussen CA Person (2011) Additive Gaussian Processes In: Advances in Neural Information Processing Systems 24, (Ed) J Shawe-Taylor, RS Zemel, P Bartlett, F Pereira and KQ Weinberger, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), 226-234.
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• Deisenroth MP Person and Rasmussen CE Person (2011) PILCO: A Model-Based and Data-Efficient Approach to Policy Search In: Proceedings of the 28th International Conference on Machine Learning, ICML 2011, (Ed) L Getoor and T Scheffer, , Omnipress, 465-472.
• Nickisch H Person and Rasmussen CE Person (2010) Gaussian Mixture Modeling with Gaussian Process Latent Variable Models In: Pattern Recognition, (Ed) Goesele, M. , S. Roth, A. Kuijper, B. Schiele, K. Schindler, 32nd Annual Symposium of the German Association for Pattern Recognition (DAGM 2010), Springer, Berlin, Germany, 271-282.
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• Rasmussen CE Person and Deisenroth MP Person (2008) Probabilistic Inference for Fast Learning in Control In: EWRL 2008, (Ed) Girgin, S. , M. Loth, R. Munos, P. Preux, D. Ryabko, 8th European Workshop on Reinforcement Learning, Springer, Berlin, Germany, 229-242.
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• Deisenroth MP Person, Peters J Person and Rasmussen CE Person (2008) Approximate Dynamic Programming with Gaussian Processes In: ACC 2008, 2008 American Control Conference, IEEE Service Center, Piscataway, NJ, USA, 4480-4485.
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• Deisenroth MP Person, Rasmussen CE Person and Peters J Person (2008) Model-Based Reinforcement Learning with Continuous States and Actions In: ESANN 2008, (Ed) Verleysen, M., European Symposium on Artificial Neural Networks, d-side, Evere, Belgium, 19-24.
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• Görür D Person, Jäkel F Person and Rasmussen CE Person (2006) A Choice Model with Infinitely Many Latent Features In: ICML 2006, (Ed) Cohen, W. W., A. Moore, 23rd International Conference on Machine Learning, ACM Press, New York, NY, USA, 361-368.
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• Kuss M Person and Rasmussen CE Person (2006) Assessing Approximations for Gaussian Process Classification In: Advances in neural information processing systems 18, (Ed) Weiss, Y. , B. Schölkopf, J. Platt, Nineteenth Annual Conference on Neural Information Processing Systems (NIPS 2005), MIT Press, Cambridge, MA, USA, 699-706.
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• Quinonero Candela J Person, Rasmussen CE Person, Sinz F Person, Bousquet O Person and Schölkopf B Person (2006) Evaluating Predictive Uncertainty Challenge In: Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment, (Ed) J Quiñonero Candela, I Dagan, B Magnini and F d'Alché-Buc, First PASCAL Machine Learning Challenges Workshop (MLCW 2005), Springer, Berlin, Germany, 1-27.
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• Quinonero Candela J Person and Rasmussen CE Person (2005) Analysis of Some Methods for Reduced Rank Gaussian Process Regression In: Switching and Learning in Feedback Systems, (Ed) Murray Smith, R. , R. Shorten, European Summer School on Multi-Agent Control 2003, Springer, Berlin, Germany, 98-127.
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• Rasmussen CE Person and Candela JQ Person (2005) Healing the Relevance Vector Machine through Augmentation (Ed) De Raedt, L. , S. Wrobel, ICML 2005, 689.
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• Sinz F Person, Candela JQ Person, BakIr G Person, Rasmussen CE Person and Franz M Person (2004) Learning Depth From Stereo In: 26th DAGM Symposium, (Ed) Rasmussen, C. E., H. H. Bülthoff, B. Schölkopf, M. A. Giese, 26th DAGM Symposium, Springer, Berlin, Germany, 245-252.
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• Görür D Person, Rasmussen CE Person, Tolias AS Person, Sinz F Person and Logothetis NK Person (2004) Modelling Spikes with Mixtures of Factor Analysers In: Pattern Recognition, (Ed) Rasmussen, C. E. , H.H. Bülthoff, B. Schölkopf, M.A. Giese, 26th DAGM Symposium, Springer, Berlin, Germany, 391-398.
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• Rasmussen CE Person and Kuss M Person (2004) Gaussian Processes in Reinforcement Learning In: Advances in Neural Information Processing Systems 16, (Ed) Thrun, S., L. K. Saul, B. Schölkopf, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 751-759.
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• Eichhorn J Person, Tolias AS Person, Zien A Person, Kuss M Person, Rasmussen CE Person, Weston J Person, Logothetis NK Person and Schölkopf B Person (2004) Prediction on Spike Data Using Kernel Algorithms In: Advances in Neural Information Processing Systems 16, (Ed) S Thrun, LK Saul and B Schölkopf, 17th Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 1367-1374.
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• Snelson E , Rasmussen CE Person and Ghahramani Z (2004) Warped Gaussian Processes In: Advances in Neural Information Processing Systems 16, (Ed) Thrun, S., L.K. Saul, B. Schölkopf, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 337-344.
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• Dubey A , Hwang S , Rangel C , Rasmussen CE Person, Ghahramani Z and Wild DL (2004) Clustering Protein Sequence and Structure Space with Infinite Gaussian Mixture Models Pacific Symposium on Biocomputing 2004, World Scientific Publishing, Singapore, 399-410.
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• Kocijan J , Murray-Smith R , Rasmussen CE Person and Girard A (2004) Gasussian process model based predictive control Proceedings of the ACC 2004, 2214-2219.
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• Franz MO Person, Kwon Y , Rasmussen CE Person and Schölkopf B Person (2004) Semi-supervised kernel regression using whitened function classes In: Pattern Recognition, Proceedings of the 26th DAGM Symposium, Lecture Notes in Computer Science, Vol. 3175, (Ed) CE Rasmussen, HH Bülthoff, MA Giese and B Schölkopf, 26th DAGM Symposium, Springer, Berlin, Gerrmany, LNCS 3175, 18-26.
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• Rasmussen CE Person and Ghahramani Z (2003) Bayesian Monte Carlo In: Advances in Neural Information Processing Systems 15, (Ed) Becker, S. , S. Thrun, K. Obermayer, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), MIT Press, Cambridge, MA, USA, 489-496.
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• Solak E , Murray-Smith R , Leithead WE , Leith D and Rasmussen CE Person (2003) Derivative observations in Gaussian Process models of dynamic systems In: Advances in Neural Information Processing Systems 15, (Ed) S. Becker and K. Obermayer, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), MIT Press, Cambridge, MA, USA, 1033-1040.
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• Girard A , Rasmussen CE Person, Quiñonero-Candela J Person and Murray-Smith R (2003) Multiple-step ahead prediction for non linear dynamic systems: A Gaussian Process treatment with propagation of the uncertainty In: Advances in Neural Information Processing Systems 15, (Ed) Becker, S. , S. Thrun, K. Obermayer, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), MIT Press, Cambridge, MA, USA, 529-536.
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• Murray-Smith R , Sbarbaro D , Rasmussen CE Person and Girard A (2003) Adaptive, Cautious, Predictive control with Gaussian Process Priors (Ed) P. Van den Hof and S. Weiland, Proceedings of the 13th IFAC Symposium on System Identification, 1195-1200.
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• Kocijan J , Banko B , Likar B , Girard A , Murray-Smith R and Rasmussen CE Person (2003) A case based comparison of identification with neural network and Gaussian process models. (Ed) Ruano, E.A., Proceedings of the International Conference on Intelligent Control Systems and Signal Processing ICONS 2003, 1, 137-142.
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• Rasmussen CE Person (2003) Gaussian Processes to Speed up Hybrid Monte Carlo for Expensive Bayesian Integrals (Ed) M. J. Bayarri J. M. Bernardo and M. West, Bayesian Statistics 7, 651-659.
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• Kocijan J , Murray-Smith R , Rasmussen CE Person and Likar B (2003) Predictive control with Gaussian process models (Ed) B. Zajc and M. Tkal, Proceedings of IEEE Region 8 Eurocon 2003: Computer as a Tool, 352-356.
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• Quiñonero-Candela J Person, Girard A , Larsen J and Rasmussen CE Person (2003) Propagation of Uncertainty in Bayesian Kernel Models - Application to Multiple-Step Ahead Forecasting (Ed) C. Molina and J. Rouat, Proceedings of 2003 IEEE International Workshop on Neural Networks for Signal Processing, 0-0.
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• Quiñonero-Candela J Person, Girard A , Larsen J and Rasmussen CE Person (2003) Propagation of Uncertainty in Bayesian Kernel Models - Application to Multiple-Step Ahead Forecasting IEEE International Conference on Acoustics, Speech and Signal Processing, 2, 701-704.
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• Beal MJ , Ghahramani Z and Rasmussen CE Person (2002) The Infinite Hidden Markov Model In: Advances in Neural Information Processing Systems 14, (Ed) Dietterich, T.G. , S. Becker, Z. Ghahramani, Fifteenth Annual Neural Information Processing Systems Conference (NIPS 2001), MIT Press, Cambridge, MA, USA, 577-584.
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• Rasmussen CE Person and Ghahramani Z (2002) Infinite Mixtures of Gaussian Process Experts (Ed) Dietterich, Thomas G.; Becker, Suzanna; Ghahramani, Zoubin, .
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• Rasmussen CE Person and Ghahramani Z (2001) Occam's Razor In: Advances in Neural Information Processing Systems 13, (Ed) Leen, T.K. , T.G. Dietterich, V. Tresp, Fourteenth Annual Neural Information Processing Systems Conference (NIPS 2000), MIT Press, Cambridge, MA, USA, 294-300.
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• Rasmussen CE Person (2000) The Infinite Gaussian Mixture Model In: Advances in Neural Information Processing Systems 12, (Ed) Solla, S.A. , T.K. Leen, K-R Müller, Thirteenth Annual Neural Information Processing Systems Conference (NIPS 1999), MIT Press, Cambridge, MA, USA, 554-560.
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• PADFR , Rasmussen CE Person and Hansen LK (2000) Bayesian modelling of fMRI time series (Ed) Todd K. Leen Sara A. Solla and Klaus-Robert Müller, , 754-760.
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• Rasmussen CE Person (1996) A practical Monte Carlo implementation of Bayesian learning In: Advances in Neural Information Processing Systems 8, (Ed) Touretzky, D.S. , M.C. Mozer, M.E. Hasselmo, Ninth Annual Conference on Neural Information Processing Systems (NIPS 1995), MIT Press, Cambridge, MA, USA, 598-604.
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• Williams CKI and Rasmussen CE Person (1996) Gaussian Processes for Regression In: Advances in neural information processing systems 8, (Ed) Touretzky, D.S. , M.C. Mozer, M.E. Hasselmo, Ninth Annual Conference on Neural Information Processing Systems (NIPS 1995), MIT Press, Cambridge, MA, USA, 514-520.
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