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Showing papers from Institut Polytechnique de Paris Show all papers

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FakeParts: a New Family of AI-Generated Video Forgeries

Ziyi LIU, Firas Gabetni, Awais H SANI, Xi Wang and 4 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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MSAlign: Aligning Molecular and Mass Spectra Foundation Models for Metabolite Identification

Paul Krzakala, Gabriel Melo, Camille Lançon, Charlotte Laclau and 3 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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Learning Spectral Compositional Koopman Operators for Global-to-Regional Weather Forecasting

khalid OUBLAL, Malo Guichard, François Bertholom, Simon Albergel and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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2/20 AI panelreviewers recommend it

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
88%Must read
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Externalized CPDAG Summaries Improve LLM Causal Deduction

Structured Thinking externalizes typed CPDAG summaries before reasoning, raising LLM causal deduction F1 by up to 13.4 points on Corr2Cause.

Wentao Sun, João P Nogueira, Dominique Verchere, Mathieu Acher and 1 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 3/5
medium 9/10
strict 3/5
89%Must read
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Predicting Only from Selected Evidence: A Tempered Product-of-Experts Bottleneck for Auditable EEG Diagnosis

tPoE-EIB constrains EEG diagnosis to selected evidence via tempered product-of-experts fusion, improving auditable selection and integration faithfulness while preserving accuracy.

Yinghao WANG, Shujian Yu, Duc-Han LE, Zhikai Yu and 2 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 1/5
83%Must read
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Effective Context in Transformers: An Analysis of Fragmentation and Tokenization

Smaller units can worsen prediction via fragmentation despite larger windows, while greedy tokenization extends effective context via compression, yielding an information-theoretic framework for representation choices.

Amirmehdi Jafari Fesharaki, Mohammadamin Rami, Aslan Tchamkerten

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 2/5