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 ...
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 ...
Graph Convolutions on Spectral Embeddings for Cortical Surface Parcellation
ScienceDirect.com - 30 Mar 2019Graph Convolutions on Spectral Embeddings for Cortical Surface Parcellation ...
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 ...
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
The Association for the Advancement of Artificial Intelligence - 03 Apr 2020EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs ...
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 ...
(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 ...
Manifold parametrizations by eigenfunctions of the Laplacian and heat kernels
PNAS - 06 Mar 2022Manifold parametrizations by eigenfunctions of the Laplacian and heat kernels ...
Assistant Professor Hyunchul Park published in Electronic Journal of Probability
SUNY New Paltz - 23 Feb 2022Assistant Professor Hyunchul Park published in Electronic Journal of Probability ...
Application of improved graph convolutional network for cortical surface parcellation
Nature - 12 May 2025Application of improved graph convolutional network for cortical surface parcellation ...
Manifold-aware synthesis of high-resolution diffusion from structural imaging
Frontiers - 25 Jun 2024Manifold-aware synthesis of high-resolution diffusion from structural imaging ...
A singular Riemannian geometry approach to Deep Neural Networks I. Theoretical foundations
ScienceDirect.com - 20 Dec 2022A singular Riemannian geometry approach to Deep Neural Networks I. Theoretical foundations ...
Graph Geometric Algebra networks for graph representation learning
Nature - 02 Jan 2025Graph Geometric Algebra networks for graph representation learning ...
The Dirichlet eigenvalue counting function...
researchgate.net - 08 Jun 2023The Dirichlet eigenvalue counting function... ...
From understanding of color perception to dynamical systems by manifold learning
PNAS - 12 Sep 2017From understanding of color perception to dynamical systems by manifold learning ...
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 ...
Integration of pre-trained protein language models into geometric deep learning networks | Communications Biology
Nature - 25 Aug 2023Integration of pre-trained protein language models into geometric deep learning networks | Communications Biology ...
Figure 1: Conventional domain alignment methods and proposed dual...
researchgate.net - 02 Dec 2020Figure 1: Conventional domain alignment methods and proposed dual... ...
Efficient graph convolutional networks for seizure prediction using scalp EEG
Frontiers - 31 Jul 2022Efficient graph convolutional networks for seizure prediction using scalp EEG ...