45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026Rutgers universityNorthwestern University, NorthweTechnische Universität DarmstadtNorthwesternRutgersLLM pretraining & scaling lawsHarder the Task, Sparser the Representation: Sparsity as a Learning Signature of Capability in LLMsMingyu Jin, Yutong Yin, Jingcheng Niu, Qingcheng Zeng and 7 moreAtlanta Poster Session 4, Thu, Dec 10, 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
45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026NorthwesternNorthwestern University, NorthweU FloridaPhysics-informed ML & PDEsAxiomatic World Modeling for Physics ReasoningXinye Yang, Zhenyang Liu, Yuxuan Wang, Yuanyuan LeiAtlanta 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
78%Highly rated?Highly ratedVote to see the scoreNeurIPS 2026NorthwesternNorthwestern University, NorthweU MichiganDiffusion modelsDiffATS: Diffusion in Aligned Tensor SpaceDiffATS uses orthogonal Procrustes-aligned Tucker primitives to enable direct diffusion modeling of high-resolution spatiotemporal fields, achieving 3.9x to 210x compression without pretrained autoencoders.Jinhua Lyu, Tianmin Yu, Brian Kim, Lizhuo Zhou and 2 moreAtlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · 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 4/5medium 5/10strict 2/5