DOI,IST REx ID,Research Group,Title of publication
10.15479/AT-ISTA-22258,22258,"GradSch,MaRo,MaMo",From sparse selection to risk prediction: Approximate message passing for proteomic survival models and large-scale genomics
10.1016/j.xgen.2026.101162,21488,"MaMo,MaRo",Joint modeling of whole-genome sequencing data for human height via approximate message passing
null,21324,MaMo,"Spurious correlations in high dimensional regression: The roles of regularization, simplicity bias and over-parameterization"
null,21325,MaMo,Test-time training provably improves transformers as in-context learners
null,21328,MaMo,Spectral estimators for multi-index models: Precise asymptotics and optimal weak recovery
null,20033,MaMo,High-dimensional analysis of knowledge distillation: Weak-to-Strong generalization and scaling laws
null,20035,MaMo,Wide neural networks trained with weight decay provably exhibit neural collapse