Marta Gazulla — accepted AI-conference papers

2026

Shifting the Breaking Point of Flow Matching for Multi-Instance Editing

Carmine Zaccagnino, Fabio Quattrini, Enis Simsar, Marta Gazulla, Rita Cucchiara, Alessio Tonioni +1

ICML 2026poster

Flow matching models have recently emerged as an efficient alternative to diffusion, especially for text-guided image generation and editing, offering faster inference through continuous-time dynamics. However, existing flow-based editors predominantly support global or single-instruction edits and …

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2026

The Art of Interrogation: Consistency Amplifies Factuality in Spatial Reasoning

Théo Uscidda, Marta Gazulla, Maks Ovsjanikov, Federico Tombari, Leonidas Guibas

ICML 2026poster

Current Large Reasoning Models (LRMs) exhibit remarkable general capabilities but significantly underperform in spatial reasoning tasks. Existing approaches treat this gap as a knowledge deficit, relying on supervised fine-tuning (SFT) to ingest labeled data from external vision sources or synthetic…

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