الباحثون

İsmail İlkan Ceylan

المنشورات 2

نسخة أولية وصول مفتوح

Global Transport Couplings for Classifier-Free Guided Flows

Katarina Petrović, Zander W. Blasingame, Danyal Rehman وآخرون · 2026

Optimal-transport couplings have been shown to reduce training variance in unconditional flow models, but their role in conditional generation remains unclear. A natural approach constructs separate couplings for each condition, but this is impractical for large or continuous conditioning spaces found in modern image f …

نسخة أولية وصول مفتوح

To Learn is to Wander: Learning Across Graphs and Tasks with Random Walks

Louis Tichelman, Xingyue Huang, Jinwoo Kim وآخرون · 2026

Graph foundation models aim to transfer across graphs, feature spaces, relational schemas, and prediction tasks, yet existing approaches typically generalize only within particular graph modalities or tasks. We propose Wander, a graph foundation model designed to operate across these settings within a single pretrained …

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