Search Results for author: Daniel Glickman

Found 2 papers, 1 papers with code

Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment

1 code implementation NeurIPS 2023 Royi Rassin, Eran Hirsch, Daniel Glickman, Shauli Ravfogel, Yoav Goldberg, Gal Chechik

This reflects an impaired mapping between linguistic binding of entities and modifiers in the prompt and visual binding of the corresponding elements in the generated image.

Attribute Sentence +1

Diffusing Graph Attention

no code implementations1 Mar 2023 Daniel Glickman, Eran Yahav

The dominant paradigm for machine learning on graphs uses Message Passing Graph Neural Networks (MP-GNNs), in which node representations are updated by aggregating information in their local neighborhood.

Graph Attention Graph Classification +2

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