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Showing papers from Mila, McGill University Show all papers

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NeurIPS 2026McGill - MilaMeta Superintelligence Labs, McGMcGill/MilaMila, McGillEfficient inference & serving

Diffusion Tree Search for Inference Time Adaptation of Material Foundation Models

Daniel Levy, Vineet Jain, Tara Akhound-Sadegh, Oumar Kaba 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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NeurIPS 2026ETH ZurichETHZ - ETH ZurichU PennsylvaniaMila, McGillCaltech, Asari AIFlow matching

Active Flow Expansion for Out-of-Distribution Discovery: from Theory to Molecules

Active Flow Expansion uses verifier-guided active exploration to grow a flow model's generable set, yielding theoretical guarantees and superior out-of-distribution molecule and protein design.

Riccardo De Santi, Bruce D Lee, Cristian Jensen, Kimon Protopapas and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5