Good Papers

Showing papers from Institute of Computer Science, Ludwig-Maximilians-Universität München Show all papers

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Deferred Aggregation in Hierarchical Bayesian Optimization

Valentin Margraf, Jonas Hanselle, Julian Rodemann, Marcel Wever and 2 more

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

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medium 0/10
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67%Highly rated
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MedFlowBench: Auditing Medical Agents in Full-Study Workflows

Weixiang Shen, Chengzhi Shen, Che Liu, Junde Wu and 10 more

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

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2/20 AI panelreviewers recommend it

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
78%Highly rated
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OperatorSHAP: Fast and Accurate Shapley Value Estimation for Neural Operators

OperatorSHAP trains grid-agnostic amortized Shapley explainers for neural operators, yielding resolution-consistent attributions that transfer across grids without retraining.

Joshua Stiller, Santo Thies, Felix Czaja, Eyke Hüllermeier

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

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5