#optimal-transport2 articles

2 articles

AIBullisharXiv – CS AI · 6h ago2

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Multimodal Optimal Transport for Unsupervised Temporal Segmentation in Surgical Robotics

Researchers developed TASOT, an unsupervised AI method for surgical phase recognition that combines visual and textual information without requiring expensive large-scale pre-training. The approach showed significant improvements over existing zero-shot methods across multiple surgical datasets, demonstrating that effective surgical AI can be achieved with more efficient training methods.

AIBullisharXiv – CS AI · 6h ago1

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Joint Distribution-Informed Shapley Values for Sparse Counterfactual Explanations

Researchers introduce COLA, a framework that refines counterfactual explanations in AI models by using optimal transport theory and Shapley values to achieve the same prediction changes with 26-45% fewer feature modifications. The method works across different datasets and models to create more actionable and clearer AI explanations.

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