Gaussian Processes for Data-Efficient Learning in Robotics and Control von Deisenroth, Marc Peter, Fox, Dieter, Rasmussen, Carl Edward

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High-dimensional Bayesian optimization using low-dimensional feature spaces von Moriconi, Riccardo, Deisenroth, Marc Peter, Sesh Kumar, K. S.

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Bayesian optimization for learning gaits under uncertainty von Calandra, Roberto, Seyfarth, André, Peters, Jan, Deisenroth, Marc Peter

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Scalable interpolation of satellite altimetry data with probabilistic machine learning von Gregory, William, MacEachern, Ronald, Takao, So, Lawrence, Isobel R., Nab, Carmen, Deisenroth, Marc Peter, Tsamados, Michel

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Probabilistic movement modeling for intention inference in human–robot interaction von Wang, Zhikun, Mülling, Katharina, Deisenroth, Marc Peter, Ben Amor, Heni, Vogt, David, Schölkopf, Bernhard, Peters, Jan

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Real-time community detection in full social networks on a laptop von Chamberlain, Benjamin Paul, Levy-Kramer, Josh, Humby, Clive, Deisenroth, Marc Peter

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Plasma surrogate modelling using Fourier neural operators von Gopakumar, Vignesh, Pamela, Stanislas, Zanisi, Lorenzo, Li, Zongyi, Gray, Ander, Brennand, Daniel, Bhatia, Nitesh, Stathopoulos, Gregory, Kusner, Matt, Peter Deisenroth, Marc, Anandkumar, Anima

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Robust Filtering and Smoothing with Gaussian Processes von Deisenroth, M. P., Turner, R. D., Huber, M. F., Hanebeck, U. D., Rasmussen, C. E.

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Co-located OLCI optical imagery and SAR altimetry from Sentinel-3 for enhanced Arctic spring sea ice surface classification von Chen, Weibin, Tsamados, Michel, Willatt, Rosemary, Takao, So, Brockley, David, de Rijke-Thomas, Claude, Francis, Alistair, Johnson, Thomas, Landy, Jack, Lawrence, Isobel R., Lee, Sanggyun, Nasrollahi Shirazi, Dorsa, Liu, Wenxuan, Nelson, Connor, Stroeve, Julienne C., Hirata, Len, Deisenroth, Marc Peter

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Bayesian optimization for learning gaits under uncertainty: An experimental comparison on a dynamic bipedal walker von Calandra, Roberto, Seyfarth, André, Peters, Jan, Deisenroth, Marc Peter

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Pathwise Conditioning of Gaussian Processes von Wilson, James T., Borovitskiy, Viacheslav, Terenin, Alexander, Mostowsky, Peter, Deisenroth, Marc Peter

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Gaussian Process Domain Experts for Modeling of Facial Affect von Eleftheriadis, Stefanos, Rudovic, Ognjen, Deisenroth, Marc Peter, Pantic, Maja

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Gaussian process dynamic programming von Deisenroth, Marc Peter, Rasmussen, Carl Edward, Peters, Jan

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Model-based contextual policy search for data-efficient generalization of robot skills von Kupcsik, Andras, Deisenroth, Marc Peter, Peters, Jan, Loh, Ai Poh, Vadakkepat, Prahlad, Neumann, Gerhard

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GPdoemd: A Python package for design of experiments for model discrimination von Olofsson, Simon, Hebing, Lukas, Niedenführ, Sebastian, Deisenroth, Marc Peter, Misener, Ruth

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Grasp Transfer Based on Self-Aligning Implicit Representations of Local Surfaces von Tekden, Ahmet, Deisenroth, Marc Peter, Bekiroglu, Yasemin

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High-dimensional Bayesian optimization with projections using quantile Gaussian processes von Moriconi, Riccardo, Kumar, K. S. Sesh, Deisenroth, Marc Peter

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Probabilistic model-based imitation learning von Englert, Peter, Paraschos, Alexandros, Deisenroth, Marc Peter, Peters, Jan

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Neural Field Movement Primitives for Joint Modelling of Scenes and Motions von Tekden, Ahmet Ercan, Deisenroth, Marc Peter, Bekiroglu, Yasemin

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Enhanced GPIS Learning Based on Local and Global Focus Areas von Murvanidze, Zuka, Deisenroth, Marc Peter, Bekiroglu, Yasemin

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