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NeurIPS 2026ShigaOsakaCausal inference

Causal Discovery via Transformed Low-Rank Quantile Surfaces

Low-Rank Quantile Surfaces model causal direction via monotone transformations yielding low-rank quantile surfaces, proving generic identifiability and outperforming location-scale methods on nonlinear, heteroscedastic data.

Ryo Kamimura, Thong Pham

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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lenient 2/5
medium 7/10
strict 1/5
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NeurIPS 2026U AmsterdamUniversité Libre de BruxellesU OxfordOsakaText-to-image

Gender Artifacts from Art History to Text-to-Image Generation

StyleGender analyzes gender artifacts across 19 art styles and text-to-image outputs, finding generative models amplify gender biases beyond historical sources.

Piera Riccio, Miriam Doh, Benedikt Höltgen, Noa Garcia and 1 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5