57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026Université de Bretagne SudUniversité Bretagne SudPhysics-informed ML & PDEsBESS-Bench: Benchmarking Spectral Representations for Be-Star VariabilityMatthieu Le Lain, Sébastien LefèvreParis Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026– ReadersNo votes yet1/20 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: 1 of 20 reviewers recommend itlenient 1/5medium 0/10strict 0/5
76%Highly rated?Highly ratedVote to see the scoreNeurIPS 2026UiT - The Arctic University of NU TromsøUiT The Arctic University of NorUniversité Bretagne SudNorwegian Computing CenterRepresentation & contrastive learningNOFE – Neural Operator Function EmbeddingNOFE introduces a continuous neural operator framework for function dimensionality reduction that outperforms PCA, t-SNE, and UMAP in local structure preservation and sampling-independent embeddings.Lars Uebbing, Harald Lykke Joakimsen, Siyan Chen, Georgios Leontidis and 5 moreSydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet10/20 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: 10 of 20 reviewers recommend itlenient 4/5medium 6/10strict 0/5