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Showing papers from Montreal Institute for Learning Algorithms, École Polytechnique, Université de Montréal Show all papers

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NeurIPS 2026ServiceNow IncServiceNowIIIT HyderabadMila / Université de MontréalMontreal Institute for Learning Representation & contrastive learning

Do Enterprise Systems Need Learned World Models? The Importance of Context to Infer Dynamics

Jishnu S Nair, Patrice Bechard, Rishabh Maheshwary, SRAVAN RAMACHANDRAN and 13 more

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

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NeurIPS 2026Max Planck Institute for Human DMilaMPI for Human DevelopmentMax-Planck InstituteMPI for Intelligent Systems, TübLLM reasoning & chain of thought

The Alien Space of Science: Sampling Coherent but Cognitively Unavailable Research Directions

A framework samples coherent but cognitively unavailable "alien" research directions by maximizing idea coherence while minimizing existing community availability, broadening explored vocabularies 3.5-7x over LLM baselines.

Alejandro H. Artiles, Martin Weiss, Levin Brinkmann, Iyad Rahwan and 5 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 13 of 20 reviewers recommend it
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strict 1/5