Search Results - "Deisenroth, Marc Peter"

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

“…Autonomous learning has been a promising direction in control and robotics for more than a decade since data-driven learning allows to reduce the amount of…”
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High-dimensional Bayesian optimization using low-dimensional feature spaces by Moriconi, Riccardo, Deisenroth, Marc Peter, Sesh Kumar, K. S.

“…Bayesian optimization (BO) is a powerful approach for seeking the global optimum of expensive black-box functions and has proven successful for fine tuning…”
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Bayesian optimization for learning gaits under uncertainty by Calandra, Roberto, Seyfarth, André, Peters, Jan, Deisenroth, Marc Peter

“…Designing gaits and corresponding control policies is a key challenge in robot locomotion. Even with a viable controller parametrization, finding near-optimal…”
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Scalable interpolation of satellite altimetry data with probabilistic machine learning by Gregory, William, MacEachern, Ronald, Takao, So, Lawrence, Isobel R., Nab, Carmen, Deisenroth, Marc Peter, Tsamados, Michel

“…We present GPSat; an open-source Python programming library for performing efficient interpolation of non-stationary satellite altimetry data, using scalable…”
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Probabilistic movement modeling for intention inference in human–robot interaction by Wang, Zhikun, Mülling, Katharina, Deisenroth, Marc Peter, Ben Amor, Heni, Vogt, David, Schölkopf, Bernhard, Peters, Jan

“…Intention inference can be an essential step toward efficient human–robot interaction. For this purpose, we propose the Intention-Driven Dynamics Model (IDDM)…”
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Plasma surrogate modelling using Fourier neural operators by Gopakumar, Vignesh, Pamela, Stanislas, Zanisi, Lorenzo, Li, Zongyi, Gray, Ander, Brennand, Daniel, Bhatia, Nitesh, Stathopoulos, Gregory, Kusner, Matt, Peter Deisenroth, Marc, Anandkumar, Anima

“…Abstract Predicting plasma evolution within a Tokamak reactor is crucial to realizing the goal of sustainable fusion. Capabilities in forecasting the…”
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Real-time community detection in full social networks on a laptop by Chamberlain, Benjamin Paul, Levy-Kramer, Josh, Humby, Clive, Deisenroth, Marc Peter

“…For a broad range of research and practical applications it is important to understand the allegiances, communities and structure of key players in society…”
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Robust Filtering and Smoothing with Gaussian Processes by Deisenroth, M. P., Turner, R. D., Huber, M. F., Hanebeck, U. D., Rasmussen, C. E.

“…We propose a principled algorithm for robust Bayesian filtering and smoothing in nonlinear stochastic dynamic systems when both the transition function and the…”
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Co-located OLCI optical imagery and SAR altimetry from Sentinel-3 for enhanced Arctic spring sea ice surface classification by 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

“…The Sentinel-3A and Sentinel-3B satellites, launched in February 2016 and April 2018 respectively, build on the legacy of CryoSat-2 by providing…”
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Bayesian optimization for learning gaits under uncertainty: An experimental comparison on a dynamic bipedal walker by Calandra, Roberto, Seyfarth, André, Peters, Jan, Deisenroth, Marc Peter

“…Designing gaits and corresponding control policies is a key challenge in robot locomotion. Even with a viable controller parametrization, finding near-optimal…”
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Gaussian Process Domain Experts for Modeling of Facial Affect by Eleftheriadis, Stefanos, Rudovic, Ognjen, Deisenroth, Marc Peter, Pantic, Maja

“…Most of existing models for facial behavior analysis rely on generic classifiers, which fail to generalize well to previously unseen data. This is because of…”
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Gaussian process dynamic programming by Deisenroth, Marc Peter, Rasmussen, Carl Edward, Peters, Jan

“…Reinforcement learning (RL) and optimal control of systems with continuous states and actions require approximation techniques in most interesting cases. In…”
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Bayesian Multiobjective Optimisation With Mixed Analytical and Black-Box Functions: Application to Tissue Engineering by Olofsson, Simon, Mehrian, Mohammad, Calandra, Roberto, Geris, Liesbet, Deisenroth, Marc Peter, Misener, Ruth

“…Tissue engineering and regenerative medicine looks at improving or restoring biological tissue function in humans and animals. We consider optimising neotissue…”
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Model-based contextual policy search for data-efficient generalization of robot skills by Kupcsik, Andras, Deisenroth, Marc Peter, Peters, Jan, Loh, Ai Poh, Vadakkepat, Prahlad, Neumann, Gerhard

“…In robotics, lower-level controllers are typically used to make the robot solve a specific task in a fixed context. For example, the lower-level controller can…”
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GPdoemd: A Python package for design of experiments for model discrimination by Olofsson, Simon, Hebing, Lukas, Niedenführ, Sebastian, Deisenroth, Marc Peter, Misener, Ruth

“…Model discrimination identifies a mathematical model that usefully explains and predicts a given system’s behaviour. Researchers will often have several…”
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Grasp Transfer Based on Self-Aligning Implicit Representations of Local Surfaces by Tekden, Ahmet, Deisenroth, Marc Peter, Bekiroglu, Yasemin

“…Objects we interact with and manipulate often share similar parts, such as handles, that allow us to transfer our actions flexibly due to their shared…”
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High-dimensional Bayesian optimization with projections using quantile Gaussian processes by Moriconi, Riccardo, Kumar, K. S. Sesh, Deisenroth, Marc Peter

“…Key challenges of Bayesian optimization in high dimensions are both learning the response surface and optimizing an acquisition function. The acquisition…”
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Probabilistic model-based imitation learning by Englert, Peter, Paraschos, Alexandros, Deisenroth, Marc Peter, Peters, Jan

“…Efficient skill acquisition is crucial for creating versatile robots. One intuitive way to teach a robot new tricks is to demonstrate a task and enable the…”
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Neural Field Movement Primitives for Joint Modelling of Scenes and Motions by Tekden, Ahmet, Deisenroth, Marc Peter, Bekiroglu, Yasemin

“…This paper presents a novel Learning from Demonstration (LfD) method that uses neural fields to learn new skills efficiently and accurately. It achieves this…”
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Model-based imitation learning by probabilistic trajectory matching by Englert, Peter, Paraschos, Alexandros, Peters, Jan, Deisenroth, Marc Peter

“…One of the most elegant ways of teaching new skills to robots is to provide demonstrations of a task and let the robot imitate this behavior. Such imitation…”
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