Zobrazeno 1 - 10
of 7 905
pro vyhledávání: '"Toussaint, P"'
Stein Variational Gradient Descent (SVGD) is a highly efficient method to sample from an unnormalized probability distribution. However, the SVGD update relies on gradients of the log-density, which may not always be available. Existing gradient-free
Externí odkaz:
http://arxiv.org/abs/2410.10390
Publikováno v:
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)
Mobile robots frequently navigate on roadmaps, i.e., graphs where edges represent safe motions, in applications such as healthcare, hospitality, and warehouse automation. Often the environment is quasi-static, i.e., it is sufficient to construct a ro
Externí odkaz:
http://arxiv.org/abs/2410.11024
Recent years have shown that the usual generalizations of taut foliations to higher dimensions, based only on topological concepts, do not yield a theory comparable in richness to the $3$-dimensional one. The aim of this article is to prove that stro
Externí odkaz:
http://arxiv.org/abs/2410.07090
One of the challenges in healthcare processes, especially those related to multi-morbid patients who suffer from multiple disorders simultaneously, is not connecting the disorders in patients to process events and not linking events' activities to gl
Externí odkaz:
http://arxiv.org/abs/2410.10827
Autor:
Reis, Paula, Linga, Gaute, Moura, Marcel, Rikvold, Per Arne, Toussaint, Renaud, Flekkøy, Eirik Grude, Måløy, Knut Jørgen
Drainage in porous media can be broken down into two main mechanisms: a primary piston-like displacement of the interfaces through the bulk of pore bodies and throats, and a secondary slow flow through corners and films in the wake of the invasion fr
Externí odkaz:
http://arxiv.org/abs/2409.05574
Volumetric shape representations have become ubiquitous in multi-view reconstruction tasks. They often build on regular voxel grids as discrete representations of 3D shape functions, such as SDF or radiance fields, either as the full shape model or a
Externí odkaz:
http://arxiv.org/abs/2407.19837
Active learning (AL) is a sequential learning scheme aiming to select the most informative data. AL reduces data consumption and avoids the cost of labeling large amounts of data. However, AL trains the model and solves an acquisition optimization fo
Externí odkaz:
http://arxiv.org/abs/2407.17992
Generating diverse samples under hard constraints is a core challenge in many areas. With this work we aim to provide an integrative view and framework to combine methods from the fields of MCMC, constrained optimization, as well as robotics, and gai
Externí odkaz:
http://arxiv.org/abs/2407.03035
We consider a set of challenging sequential manipulation puzzles, where an agent has to interact with multiple movable objects and navigate narrow passages. Such settings are notoriously difficult for Task-and-Motion Planners, as they require interde
Externí odkaz:
http://arxiv.org/abs/2405.02053
Autor:
Alvaro-Gómez, L., Masseboeuf, A., Mille, N., ález, C. Fernández-Gonz, Ruiz-Gómez, S., Toussaint, J. C, Belkhou, R., Foerster, M., Pereiro, E., Aballe, L., Thirion, C., Gusakova, D., Fruchart, O., Pérez, L.
Cylindrical magnetic nanowires have been proposed as a means of storing and processing information in a 3D medium, based on the motion of domain walls~(DWs). Introducing short chemical modulations in such wires would allow for reliable digital contro
Externí odkaz:
http://arxiv.org/abs/2405.00652