DOI,IST REx ID,Research Group,Title of publication
10.1109/TIT.2025.3587340,20081,MaMo,Sibson α-mutual information and its variational representations
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
10.1137/24m1702854,22228,MaMo,Precise asymptotics for spectral methods in mixed generalized linear models
10.15479/AT-ISTA-22857,22857,"GradSch,MaMo",Trustworthy machine learning in high dimensions
null,22894,"GradSch,MaMo",A law of data reconstruction for random features (and beyond)
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
10.1103/PhysRevResearch.7.013081,18986,MaMo,Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise
10.1016/j.acha.2025.101749,19065,MaMo,Efficient identification of wide shallow neural networks with biases
10.4230/LIPIcs.ITCS.2025.82,19281,MaMo,Tight bounds on list-decodable and list-recoverable zero-rate codes
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
null,20300,MaMo,Learning Pareto manifolds in high dimensions: How can regularization help?
10.1109/ISIT63088.2025.11195426,20667,MaMo,Mean estimation in high-dimensional binary timeinhomogeneous Markov Gaussian mixture models
10.4171/MSL/52,20734,MaMo,Spectral estimators for structured generalized linear models via approximate message passing
10.52202/085713-1450,22825,"MaMo,GradSch,ChLa",Neural collapse is globally optimal in deep regularized ResNets and transformers
null,21326,MaMo,"Neural collapse beyond the unconstrained features model: Landscape, dynamics, and generalization in the mean-field regime"
10.1073/pnas.2423072122,19627,MaMo,Privacy for free in the overparameterized regime
null,21324,MaMo,"Spurious correlations in high dimensional regression: The roles of regularization, simplicity bias and over-parameterization"