DOI,IST REx ID,Research Group,Title of publication
10.1007/978-981-96-0891-1_7,18755,KrPi,Strongly secure universal thresholdizer
10.1007/978-981-96-0894-2_14,18756,KrPi,"Evasive LWE assumptions: Definitions, classes, and counterexamples"
10.7554/eLife.98552,18757,FlPr,Streamlining segmentation of cryo-electron tomography datasets with Ais
10.4230/LIPIcs.IPEC.2024.2,18758,MaKw,Linear-time MaxCut in multigraphs parameterized above the Poljak-Turzík bound
10.3847/2041-8213/ad7b17,18760,JoMa,"Ionized gas kinematics with FRESCO: An extended, massive, rapidly rotating galaxy at z = 5.4"
10.1093/gbe/evae265,18761,BeVi,Evidence for a novel X chromosome in termites
10.1214/24-EJP1247,18762,LaEr,Multi-point functional central limit theorem for Wigner matrices
10.15479/at:ista:18766,18766,"GradSch,FlSc",Elucidating the structural determinants of the poxvirus core using multi-modal cryo-EM
10.7554/elife.89361,18779,GaNo,A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus
null,18847,"SyCr,FrLo,GradSch",Smoke and mirrors in causal downstream tasks
10.5311/JOSIS.2024.29.295,18856,ChLa,Predicting the geolocation of tweets using transformer models on customized data
null,18875,"GradSch,ChLa",Banded square root matrix factorization for differentially private model training
null,18890,"GradSch,MaMo",Average gradient outer product as a mechanism for deep neural collapse
null,18891,"GradSch,MaMo,ChLa",Neural collapse versus low-rank bias: Is deep neural collapse really optimal?
10.6084/M9.FIGSHARE.26484934.V2,18895,"SyCr,FrLo,GradSch",ISTAnt
null,18897,"JaMa,MaMo",Improved convergence of score-based diffusion models via prediction-correction
10.1007/978-3-031-50466-2,18899,JaMa,Optimal Transport on Quantum Structures
10.1093/imrn/rnae092,18900,JaMa,Modular completely Dirichlet forms as squares of derivations
10.1038/s41467-024-45148-8,18902,"GaTk,AnKi",Assessing the precision of morphogen gradients in neural tube development
10.1145/3637528.3671978,18906,MoHe,Expander hierarchies for normalized cuts on graphs
