Workshop Advances in Numerics for S(P)DEs in Gothenburg
Chalmers tekniska högskola - 09 Oct 2024Workshop Advances in Numerics for S(P)DEs in Gothenburg ...
euclidean domain
Workshop Advances in Numerics for S(P)DEs in Gothenburg ...
(PDF) A simple proof of the generalized Leibniz rule on bounded Euclidean domains
researchgate.net - 23 Aug 2020(PDF) A simple proof of the generalized Leibniz rule on bounded Euclidean domains ...
A State‐of‐the‐Art Computer Vision Adopting Non‐Euclidean Deep‐Learning Models
Wiley Online Library - 09 May 2023A State‐of‐the‐Art Computer Vision Adopting Non‐Euclidean Deep‐Learning Models ...
Riemannian transfer learning based on log-Euclidean metric for EEG classification
Frontiers - 29 May 2024Riemannian transfer learning based on log-Euclidean metric for EEG classification ...
A fast kernel independence test for cluster-correlated data
Nature - 15 Dec 2022A fast kernel independence test for cluster-correlated data ...
Transcending the Euclidean Paradigm: A Roadmap for Advancing Machine Learning with Geometric, Topological, and Algebraic Structures
MarkTechPost - 18 Jul 2024Transcending the Euclidean Paradigm: A Roadmap for Advancing Machine Learning with Geometric, Topological, and Algebraic Structures ...
An overview of the advantages and disadvantages of the classic GCN models.
researchgate.net - 06 Jul 2024An overview of the advantages and disadvantages of the classic GCN models. ...
VIPDA: A Visually Driven Point Cloud Denoising Algorithm Based on Anisotropic Point Cloud Filtering
Frontiers - 26 Jun 2024VIPDA: A Visually Driven Point Cloud Denoising Algorithm Based on Anisotropic Point Cloud Filtering ...
Figure 1: Flow diagram of our proposed spatial attention graph neural...
researchgate.net - 30 Mar 2023Figure 1: Flow diagram of our proposed spatial attention graph neural... ...
Manifold-aware synthesis of high-resolution diffusion from structural imaging
Frontiers - 25 Jun 2024Manifold-aware synthesis of high-resolution diffusion from structural imaging ...
Figure 1. Graph representation learning paradigms. Graph representation...
researchgate.net - 19 Aug 2022Figure 1. Graph representation learning paradigms. Graph representation... ...
The Dirichlet eigenvalue counting function...
researchgate.net - 08 Jun 2023The Dirichlet eigenvalue counting function... ...
Figure 1: Conventional domain alignment methods and proposed dual...
researchgate.net - 02 Dec 2020Figure 1: Conventional domain alignment methods and proposed dual... ...
Figure 5: Pointwise geodesic error (in % of geodesic diameter) of...
researchgate.net - 07 Sep 2018Figure 5: Pointwise geodesic error (in % of geodesic diameter) of... ...
A 3D embedding from a 2D domain with an anisotropic metric given in Fig. 4 (a) computed without the regularization.
researchgate.net - 26 Mar 2021A 3D embedding from a 2D domain with an anisotropic metric given in Fig. 4 (a) computed without the regularization. ...
Context-aware amino acid recovery allows the design of functional...
researchgate.net - 27 Jul 2024Context-aware amino acid recovery allows the design of functional... ...
FIGURE 1. Basic elements and sub-systems of optical networks. Adapted...
researchgate.net - 12 Jan 2021FIGURE 1. Basic elements and sub-systems of optical networks. Adapted... ...
Graph Geometric Algebra networks for graph representation learning
Nature - 02 Jan 2025Graph Geometric Algebra networks for graph representation learning ...
Mesh pooling after mesh convolution operation. (A) A mesh convolution...
researchgate.net - 11 Mar 2018Mesh pooling after mesh convolution operation. (A) A mesh convolution... ...