DOI,IST REx ID,Research Group,Title of publication
10.1109/TIT.2023.3260950,12838,MaMo,Multiple packing: Lower bounds via infinite constellations
null,12859,"GradSch,MaMo",Beyond the universal law of robustness: Sharper laws for random features and neural tangent kernels
10.1109/TIT.2023.3292219,13269,MaMo,Codes for the Z-channel
10.1073/pnas.2302028120,13315,MaMo,Fundamental limits in structured principal component analysis and how to reach them
10.1109/ITW55543.2023.10160238,13321,MaMo,Approximate message passing for multi-layer estimation in rotationally invariant models
null,14921,"MaMo,ChLa",Deep neural collapse is provably optimal for the deep unconstrained features model
10.1109/isit54713.2023.10206899,14922,MaMo,Concentration without independence via information measures
10.1109/isit54713.2023.10206671,14923,MaMo,Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise
null,14924,MaMo,"Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence"
10.4230/LIPIcs.ICALP.2023.99,14083,MaMo,Zero-rate thresholds and new capacity bounds for list-decoding and list-recovery
null,14459,"MaMo,DaAl","Fundamental limits of two-layer autoencoders, and achieving them with gradient methods"
10.1109/TIT.2023.3334032,14665,MaMo,Multiple packing: Lower bounds via error exponents
10.1109/tit.2023.3257239,14751,MaMo,Zero-error communication over adversarial MACs
10.1109/tcomm.2022.3211101,12233,MaMo,Decoding Reed-Muller codes with successive codeword permutations
10.1109/tit.2022.3167554,12273,MaMo,Quadratically constrained myopic adversarial channels
10.1088/1742-5468/ac9828,12480,MaMo,Approximate message passing with spectral initialization for generalized linear models
10.48550/arXiv.2205.10009,12536,MaMo,The price of ignorance: How much does it cost to forget noise structure in low-rank matrix estimation?
null,12537,MaMo,Memorization and optimization in deep neural networks with minimum over-parameterization
10.1109/ITW54588.2022.9965870,12538,MaMo,Sharp asymptotics on the compression of two-layer neural networks
null,12540,MaMo,Estimation in rotationally invariant generalized linear models via approximate message passing