Haggai Maron

Neural Message-Passing on Attention Graphs for Hallucination Detection

On The Expressive Power of GNN Derivatives

A Graph Meta-Network for Learning on Kolmogorov–Arnold Networks

Learning from Historical Activations in Graph Neural Networks

FS-KAN: Permutation Equivariant Kolmogorov-Arnold Networks via Function Sharing

Low Rank Weight Bases for Visual Analogies

It Takes a Graph to Know a Graph: Rewiring for Homophily with a Reference Graph

Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity

Homomorphism Expressivity of Spectral Invariant Graph Neural Networks

Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT

GradMetaNet: An Equivariant Architecture for Learning on Gradients

Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models

Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality

Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality

Foldable SuperNets: Scalable Merging of Transformers with Different Initializations and Tasks

Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models