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One-Shot Transfer of Affordance Regions? AffCorrs!


Sep 16, 2022
Denis Hadjivelichkov, Sicelukwanda Zwane, Marc Peter Deisenroth, Lourdes Agapito, Dimitrios Kanoulas

* Published in Conference on Robot Learning, 2022 For code and dataset, refer to https://sites.google.com/view/affcorrs 

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Bayesian Optimization-based Nonlinear Adaptive PID Controller Design for Robust Mobile Manipulation


Jul 04, 2022
Hadi Hajieghrary, Marc Peter Deisenroth, Yasemin Bekiroglu

* Accepted to be presented at 2022 IEEE International Conference on Automation Science and Engineering (CASE 2022) 

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Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels


Nov 25, 2021
Michael Hutchinson, Alexander Terenin, Viacheslav Borovitskiy, So Takao, Yee Whye Teh, Marc Peter Deisenroth

* Advances in Neural Information Processing Systems, 2021 

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Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Equivariant Projected Kernels


Oct 28, 2021
Michael Hutchinson, Alexander Terenin, Viacheslav Borovitskiy, So Takao, Yee Whye Teh, Marc Peter Deisenroth

* Advances in Neural Information Processing Systems, 2021 

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Gaussian Process Sampling and Optimization with Approximate Upper and Lower Bounds


Oct 22, 2021
Vu Nguyen, Marc Peter Deisenroth, Michael A. Osborne

* 19 pages 

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Learning to Transfer: A Foliated Theory


Jul 22, 2021
Janith Petangoda, Marc Peter Deisenroth, Nicholas A. M. Monk


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Submodular Kernels for Efficient Rankings


May 26, 2021
Michelangelo Conserva, Marc Peter Deisenroth, K S Sesh Kumar


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Learning Contact Dynamics using Physically Structured Neural Networks


Feb 22, 2021
Andreas Hochlehnert, Alexander Terenin, Steindór Sæmundsson, Marc Peter Deisenroth

* Artificial Intelligence and Statistics, 2021 

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Sliced Multi-Marginal Optimal Transport


Feb 14, 2021
Samuel Cohen, K S Sesh Kumar, Marc Peter Deisenroth


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