RESEARCH

Spectral coefficient learning via operator networks for inverse problems of parametric partial differential equations

Largest similar copies of convex polygons in polygonal domains

PHLP: Sole persistent homology for link prediction - interpretable feature extraction

Stellar spectral classification using convolutional neural networks on objective prism plates

Learning time-dependent PDE via graph neural networks and deep operator network for robust accuracy on irregular grids

MBNO: Mamba-based neural operators for solving partial differential equations

Instance-Dependent Fixed-Budget Pure Exploration in Reinforcement Learning

Farthest-Point Voronoi Diagrams in the Hilbert Metric