#Geometric Deep Learning
Latest news articles tagged with "Geometric Deep Learning". Follow the timeline of events, related topics, and entities.
Articles (2)
-
🇺🇸 Gauge-Equivariant Intrinsic Neural Operators for Geometry-Consistent Learning of Elliptic PDE Maps
[USA]
arXiv:2603.14734v1 Announce Type: new Abstract: Learning solution operators of partial differential equations (PDEs) from data has emerged as a promising route to fast surrogate models in multi-query...
Related: #Machine Learning, #Partial Differential Equations -
🇺🇸 Geometric Neural Operators via Lie Group-Constrained Latent Dynamics
[USA]
arXiv:2602.16209v1 Announce Type: cross Abstract: Neural operators offer an effective framework for learning solutions of partial differential equations for many physical systems in a resolution-inva...
Related: #Neural Operators, #Partial Differential Equations, #Lie Group Theory, #Stability in Iterative Models
About the topic: Geometric Deep Learning
The topic "Geometric Deep Learning" aggregates 2+ news articles from various countries.