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Code for the paper "Bilinear Sequence Regression: Model for Learning from Long Sequences of High-dimensional Tokens"
Code for "Rigorous dynamical mean field theory for stochastic gradient descent methods"
Python 6
Gibbs sampler for neural network posteriors
Repository for the paper "Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime"
Repository containing the data and the code to reproduce the findings in the paper "Clustering and percolation in ecological communities: A dynamical theory"
Repository for the paper "How Width and Data Shape Generalization Scaling Laws in Quadratic Neural Networks"
Repository for the paper "A solvable high-dimensional model where nonlinear autoencoders learn structure invisible to PCA while test loss misaligns with generalization"
Repository for the paper "Inductive Bias and Spectral Properties of Single-Head Attention in High Dimensions"
Code for the paper "Building Conformal Prediction Intervals with Approximate Message Passing"
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