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Showing papers from Brown University Meta FAIR Show all papers

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NeurIPS 2026UChicagoU ChicagoJohns HopkinsBrown University Meta FAIRFinance & economics

Towards Financial World Modeling

Humzah Merchant, Alec Guthrie, Simon Mahns, Randall Balestriero and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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45%Niche pick
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NeurIPS 2026Max Planck Institute for IntelliBrown University Meta FAIRMPI for Intelligent Systems, TübVision-language-action models

Perception for Action in Latent World Models

Petr Ivashkov, Randall Balestriero, Bernhard Schölkopf

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Technion - Israel Institute of TGenentechBrown University Meta FAIRUnified multimodal models

When to Align, When to Predict: A Phase Diagram for Multimodal Learning

Under structured cross-modal nuisance correlation, cross-modal alignment and prediction have complementary failure modes partitioned by separation ratios into four regimes, with a data-driven procedure identifying preferred objectives and when neither beats single-modality baselines.

Ilay Kamai, Hugues Van Assel, Aviv Regev, Hagai B Perets and 1 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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17/20 AI panelreviewers recommend it

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AI panel: 17 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 4/5