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Showing papers from Chalmers University of Technology Show all papers

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When to Trust a PFN: Detecting Harmful Shift in Tabular Foundation Models

Viet Nguyen, Herman Bergström, Stephan Rabanser, Rahul Krishnan

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

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Looking Under the Streetlight: Evaluation in Generative Molecular Dynamics

Simon Olsson, Frank Noe, Grant Rotskoff, Kresten Lindorff-Larsen

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

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Beyond Chamfer Distance: Granular Order-aware Evaluation Metric For Online Mapping

Proposed SOSPA and PLD metrics replace Chamfer-distance mAP with order-aware geometry evaluation and soft assignment, revealing detection, not geometry, as online mapping's dominant bottleneck.

Chouaib Bencheikh Lehocine, Adam Lilja, Junsheng Fu, Lars Hammarstrand

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

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AI panel: 13 of 20 reviewers recommend it
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medium 8/10
strict 0/5
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The Interplay of Data Structure and Imbalance in the Learning Dynamics of Diffusion Models

Diffusion models learn high-variance classes first, but sampling imbalance can reverse this ordering and delay minority class learning, causing uneven memorization.

Flavio Nicoletti, Chenxiao Ma, Enrico Ventura, Luca Saglietti and 1 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: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5