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The Wisdom of the Body Revisited

Detection and Steering in LLMs using Feature Learning

Adam and friends via duality

Theory of Scaling: A General Framework for Scale-aware Training

A Statistical Theory of Contrastive Pre-training and Multimodal Generative AI

Generalization and overfitting in two-layer neural networks

Emergence and scaling laws for SGD learning and Learning Compositional Functions with Transformers

Local minima of the empirical risk in high dimension

Weak-to-Strong Generalization Even in Random Feature Networks, Provably

Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression