Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels

2 November 2021

Noémie Jaquier

Viacheslav Borovitskiy

Papers citing "Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels"

28 / 28 papers shown

Title
High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces Quoc-Anh Hoang Nguyen The Hung Tran 75 1 0 21 Dec 2024
Residual Deep Gaussian Processes on Manifolds Kacper Wyrwal Andreas Krause Viacheslav Borovitskiy BDL 49 0 0 31 Oct 2024
On Probabilistic Pullback Metrics on Latent Hyperbolic Manifolds Luis Augenstein Noémie Jaquier Tamim Asfour Leonel Rozo 26 0 0 28 Oct 2024
Sample-efficient Bayesian Optimisation Using Known Invariances Theodore Brown Alexandru Cioba Ilija Bogunovic 28 2 0 22 Oct 2024
MANTRA: The Manifold Triangulations Assemblage Rubén Ballester Ernst Röell Daniel Bin Schmid Mathieu Alain Sergio Escalera Carles Casacuberta Bastian Rieck 44 2 0 03 Oct 2024
Bayesian Optimal Experimental Design for Robot Kinematic Calibration Ersin Daş Thomas Touma J. W. Burdick 27 0 0 17 Sep 2024
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs P. Mostowsky Vincent Dutordoir I. Azangulov Noémie Jaquier Michael John Hutchinson Aditya Ravuri Leonel Rozo Alexander Terenin Viacheslav Borovitskiy 35 5 0 10 Jul 2024
Non-parametric regression for robot learning on manifolds P. C. López-Custodio K. Bharath A. Kucukyilmaz S. P. Preston 23 1 0 30 Oct 2023
Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning Noémie Jaquier Leonel Rozo Tamim Asfour 18 6 0 11 Oct 2023
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds Paul Rosa Viacheslav Borovitskiy Alexander Terenin Judith Rousseau 28 7 0 19 Sep 2023
Alignment of Density Maps in Wasserstein Distance A. Singer Ruiyi Yang 25 8 0 21 May 2023
The e-Bike Motor Assembly: Towards Advanced Robotic Manipulation for Flexible Manufacturing Leonel Rozo A. Kupcsik Philipp Schillinger Meng Guo R. Krug ... Patrick Kesper Sabrina Hoppe Hanna Ziesche M. Burger Kai O. Arras 28 5 0 20 Apr 2023
The Matérn Model: A Journey through Statistics, Numerical Analysis and Machine Learning Emilio Porcu M. Bevilacqua R. Schaback Chris J. Oates 19 14 0 05 Mar 2023
A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold Yanhong Fei Xian Wei Yingjie Liu Zhengyu Li Mingsong Chen 20 6 0 16 Feb 2023
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces I. Azangulov A. Smolensky Alexander Terenin Viacheslav Borovitskiy 32 14 0 30 Jan 2023
Extrinsic Bayesian Optimizations on Manifolds Yi-Zheng Fang Mu Niu P. Cheung Lizhen Lin 16 1 0 21 Dec 2022
On power sum kernels on symmetric groups I. Azangulov Viacheslav Borovitskiy A. Smolensky 19 0 0 10 Nov 2022
Learning Riemannian Stable Dynamical Systems via Diffeomorphisms Jiechao Zhang Hadi Beik-Mohammadi Leonel Rozo 16 15 0 06 Nov 2022
Isotropic Gaussian Processes on Finite Spaces of Graphs Viacheslav Borovitskiy Mohammad Reza Karimi Vignesh Ram Somnath Andreas Krause 28 7 0 03 Nov 2022
Optimization on Manifolds via Graph Gaussian Processes Hwanwoo Kim D. Sanz-Alonso Ruiyi Yang 30 2 0 20 Oct 2022
Geometric Reinforcement Learning For Robotic Manipulation Naseem Alhousani Matteo Saveriano Ibrahim Sevinc Talha Abdulkuddus Hatice Kose Fares J. Abu-Dakka 28 6 0 14 Oct 2022
Bringing motion taxonomies to continuous domains via GPLVM on hyperbolic manifolds Noémie Jaquier Leonel Rozo Miguel González-Duque Viacheslav Borovitskiy Tamim Asfour 43 7 0 04 Oct 2022
Riemannian geometry as a unifying theory for robot motion learning and control Noémie Jaquier Tamim Asfour AI4CE 19 5 0 30 Sep 2022
Optimizing Demonstrated Robot Manipulation Skills for Temporal Logic Constraints Akshay Dhonthi Philipp Schillinger Leonel Rozo Daniele Nardi 28 7 0 07 Sep 2022
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case I. Azangulov A. Smolensky Alexander Terenin Viacheslav Borovitskiy 39 21 0 31 Aug 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 38 197 0 07 Jun 2022
Visualizing Riemannian data with Rie-SNE A. Bergsson Søren Hauberg 25 4 0 17 Mar 2022
Gaussian-Process-based Robot Learning from Demonstration Miguel Arduengo Adria Colomé J. Lobo-Prat Luis Sentis Carme Torras 33 17 0 23 Feb 2020