Robuta

https://deepai.org/publication/mesh-manifold-based-riemannian-motion-planning-for-omnidirectional-micro-aerial-vehicles
02/20/21 - This paper presents a novel on-line path planning method that enables aerial robots to interact with surfaces. We present a soluti...
motion planningmeshmanifoldbasedriemannian
https://www.helsinki.fi/en/researchgroups/inverse-problems/seminars/seeing-inside-the-earth-with-riemannian-and-finsler-geometry
Teemu Saksala (Rice University) 28.08.2018, Exactum B120, 2pm-4pm
the earthfinsler geometryseeinginsideriemannian
https://www.arxiv.org/abs/2006.12798
Abstract page for arXiv paper 2006.12798: Note: low-rank tensor train completion with side information based on Riemannian optimization
notelowranktensortrain
https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2023.1345770/full
Affective computing is the core for Human-computer interface (HCI) to be more inteligent, where electroencephalogram (EEG) based emotion recognition is one o...
on thefrontiersstudycombinationfunctional
https://openreview.net/forum?id=j0f5MUHWcW&referrer=%5Bthe%20profile%20of%20Guandao%20Yang%5D(%2Fprofile%3Fid%3D~Guandao_Yang1)
Symmetries are ubiquitous across all kinds of objects, whether in nature or in man-made creations. While these symmetries may seem intuitive to the human eye,...
langevin dynamicsrobustsymmetrydetectionvia
https://arxiv.org/abs/1007.1190v3
Abstract page for arXiv paper 1007.1190v3: A K-Theoretic Proof of the Morse Index Theorem in Semi-Riemannian Geometry
a kmorse indextheoreticproof
https://arxiv.org/abs/1712.05537
Abstract page for arXiv paper 1712.05537: Quantum Abelian Yang-Mills Theory on Riemannian Manifolds with Boundary
yang millsriemannian manifoldsquantumabeliantheory
https://deepai.org/publication/intrinsic-riemannian-functional-data-analysis-for-sparse-longitudinal-observations
09/16/20 - A novel framework is developed to intrinsically analyze sparsely observed Riemannian functional data. It features four innovative ...
functional data analysisintrinsicriemanniansparselongitudinal
https://github.com/pymanopt/pymanopt
Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation - pymanopt/pymanopt
riemannian manifoldsgithubpythontoolboxoptimization
https://openreview.net/forum?id=yNej0aGtAZ
Message Passing Neural Networks (MPNNs) are the building block of graph foundation models, but fundamentally suffer from oversmoothing and oversquashing. There...
riemannian geometrydeepergraph