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Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models., , , and . ITW, page 294-298. IEEE, (2023)Sharp asymptotics on the compression of two-layer neural networks., , , , and . ITW, page 588-593. IEEE, (2022)Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization., , and . NeurIPS, (2022)Approximate Message Passing with Spectral Initialization for Generalized Linear Models., and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 397-405. PMLR, (2021)Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 22120-22144. PMLR, (2022)Neural Collapse versus Low-rank Bias: Is Deep Neural Collapse Really Optimal?, , and . CoRR, (2024)Unified scaling of polar codes: Error exponent, scaling exponent, moderate deviations, and error floors., , and . ISIT, page 1422-1426. IEEE, (2015)Improved Convergence of Score-Based Diffusion Models via Prediction-Correction., , and . CoRR, (2023)Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery., , and . CoRR, (February 2025)Test-Time Training Provably Improves Transformers as In-context Learners., , , , , and . CoRR, (March 2025)