Showing papers from University of Pisa Show all papers
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026
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Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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Explainability of AI in healthcare critically shapes liability rules, practitioner responsibility, and defensive medicine risk.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Current explainability methods fail to explain LLM behavioral shifts from interventions; this paper proposes Comparative XAI (XAIΔ) to explain model transitions and defines auditing desiderata for governance.
Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026
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Random-Set Graph Neural Networks model node-level epistemic uncertainty via belief functions to yield precise predictions and uncertainty estimates, outperforming baselines on nine graph datasets.
Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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FRESCO introduces a frequency-domain echo state network achieving linear-time dense recurrent updates and matching state-of-the-art sequence modeling performance.
Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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A small subset of hidden-state channels in diffusion transformers drives image semantics, spatial structure, and prompt transfer without training.
Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026
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