Projects

An alternative perspective on Information Propagation in Graph Neural Networks

Giuseppe Alessio D’Inverno

AnisoSphere: Learning Anisotropic Geodesic Convolutions for Global Weather Prediction

Simone Foti, Massimiliano Esposito

Equivariant networks alias too!?

Julia Grabinski

Exchangeability-Guided Graph Condensation

Abir De

Graph Curvature as a Lens on Adversarial Robustness in GNNs

Sofiane Ennadir, Oleg Smirnov

Graph Curvature as a Lens on Adversarial Robustness in GNNs

Sofiane Ennadir, Oleg Smirnov

Graph Curvature as a Lens on Adversarial Robustness in GNNs

Sofiane Ennadir, Oleg Smirnov

Graph Readouts with Laplacian Projection Valued Measures

Ka Man (Ambrose) Yim

Hidden in Plain Symmetry: Exploiting Molecular Symmetry for 3D Canonicalization

Snir Hordan

Hypergraph Heat Method

Jiří Minarčík

Learning Physics on Meshes: Geometry-Aware Neural Operators

Mustafa Hajij

Neural Generative Models for Temporal Graphs

Antonio Longa

New point-cloud architectures for mesh-invariant operator learning

Hefin Lambley

Posterior Geometry and Variational Inference for Bayesian Complexity in Neural Networks

Jiayi Li, Martin Trapp

Risk-Sensitive Policy Learning over Parametric Linear Operators

Philipp Guth

Singular learning theory for LLM interpretability and alignment

Sergio Estan Ruiz

Spectral Hypergraph Learning for Higher-order Biological Interactions

Khaled Mohammed Saifuddin

Symmetry Profiles of Vision Foundation Models: What Makes Visual Representations Useful?

Nikita Araslanov

Text Guided Generative Models for Conditional 3D Material Generation

Kishalay Das

Topology-Aware Learning for Spatial Transcriptomics

Lucia Testa, Robin Khatri
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