45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026Cold Spring Harbor LaboratoryLearning theoryComplete or Sparse: A Tale of Two IdentifiabilitiesJunze Zhou, David KlindtSydney Poster Session 1, Tue, Dec 8, 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
45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026Cold Spring Harbor LaboratoryControllable generationGPA: Generative Population Annealing for Test-Time Sequence Design with Pretrained Generative ModelsAnirban Sarkar, Alejandra Duran, Peter KooSydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 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
45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026YaleCold Spring Harbor LaboratoryProbing & representation analysisLearning Interpretable Switching Dynamics in Shared Neural-Behavioral Latent SpaceYongxu Zhang, Josue Ortega Caro, Rachel L Oren, Michael J Higley and 3 moreAtlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · 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
57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026Cold Spring Harbor LaboratoryBielefeldProbing & representation analysisIs a Linear Probe Evidence of a Linear Representation?Nadir Kutluozen, Christian Internò, David KlindtSydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · 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
45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026New YorkCold Spring Harbor LaboratoryDeep learning theoryA Control-Theoretic Approximation to Predictive Coding DynamicsRyan Fayyazi, Kyle Daruwalla, Mitra JavadzadehAtlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · 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
69%Highly rated?Highly ratedVote to see the scoreNeurIPS 2026OralStanfordColumbiaFlorida StateCold Spring Harbor LaboratoryComputational neuroscienceBEAST3D: animal behavioral analysis and neural encoding from multi-view video via Gaussian splattingBEAST3D relates 3D behavioral features from multi-view video to neural activity via Gaussian splatting. It establishes a versatile framework for behavioral analysis using 3D structure in laboratory recordings.Yanchen Wang, Lenny Aharon, Wangshu Zhu, Kyle Daruwalla and 6 moreSydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet3/20 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: 3 of 20 reviewers recommend itlenient 2/5medium 1/10strict 0/5