45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026Ludwig-Maximilians-Universität MInstitute of Computer Science, LStats Department, LMU MunichL3S Research Center, Leibniz UniDFKI (German Research Center forBayesian & probabilistic methodsDeferred Aggregation in Hierarchical Bayesian OptimizationValentin Margraf, Jonas Hanselle, Julian Rodemann, Marcel Wever and 2 moreSydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet0/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 0 of 20 reviewers recommend itlenient 0/5medium 0/10strict 0/5
67%Highly rated?Highly ratedVote to see the scoreNeurIPS 2026Technical University of MunichTechnische Universität MünchenImperial College LondonU OxfordInstitute of Computer Science, LAgent benchmarks & environmentsMedFlowBench: Auditing Medical Agents in Full-Study WorkflowsWeixiang Shen, Chengzhi Shen, Che Liu, Junde Wu and 10 moreSydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet2/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 2 of 20 reviewers recommend itlenient 2/5medium 0/10strict 0/5
78%Highly rated?Highly ratedVote to see the scoreNeurIPS 2026LMU MunichInstitute of Computer Science, LMarburguniversityFeature attributionOperatorSHAP: Fast and Accurate Shapley Value Estimation for Neural OperatorsOperatorSHAP 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 HüllermeierSydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet11/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 11 of 20 reviewers recommend itlenient 5/5medium 6/10strict 0/5