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Showing papers from École Polytechnique de Montréal, Université de Montréal Show all papers

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Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models

Nilaksh, Saurav Jha, Artem Zholus, Sarath Chandar

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

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lenient 2/5
medium 0/10
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Bidirectional Information Flow (BIF) - A Sample Efficient Hierarchical Gaussian Process for Bayesian Optimization

Bidirectional Information Flow enables continuous two-way communication in hierarchical Gaussian processes for Bayesian optimization, improving sample efficiency, training robustness, and modular subtask reuse while significantly outperforming unidirectional and vanilla methods.

Juan D. Guerra, Thomas Garbay, Numa Dancause, Guillaume Lajoie and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 4/5
medium 9/10
strict 2/5
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Counterfactual Maps: What They Are and How to Find Them

Counterfactual maps use volumetric KD trees to find globally optimal counterfactual explanations for tree ensembles via nearest-region search with millisecond queries.

Awa Khouna, Julien Ferry, Thibaut Vidal

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

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 1/5