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algorithms_integer_traffic_assignment

backtracking-dynamical-cavity

A version cavity method that tracks the dynamics of a model backwards from the attractors into their basin.

bootstrapasymptotics

Code for the paper "Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression"

bpepi

Belief Propagation EPidemic Inference [bpepi]

counting-attention

dae

Repository for the paper "High Dimensional Asymptotics of Denoising Autoencoders"

diffusion_gmm

Repo for the paper : Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity

dmft-integration

Code to integrate the DMFT equations

double_descent_uncertainty

Companion repository for the paper "On double-descent in uncertainty quantification in overparametrized models"

dynamical-phase-transitions-gcas

expectation-consistency

Code to compare variants of temperature scaling

extensivewidthquadraticsamples

Code repository for the paper "Bayes-optimal learning of an extensive-width neural network from quadratically many samples"

fixed_points_graph_ca

fundamentallimitsmultiindex

Code repository for the paper: "Fundamental limits of weak learnability in high-dimensional multi-index models"

gibbs-sampler-neural-networks

Gibbs sampler for neural network posteriors

high-dimensional-uncertainty

Companion code for the paper "Theoretical characterization of uncertainty in high-dimensional linear classification"

kernel_classification

maximum-average-submatrix

Code for the RS and 1-RSB solution of the maximum-average submatrix problem

numerics-gibbs-sampling-neural-nets

numerics_integer_traffic_assignment

onestepgd_asymptotics

code for Asymptotics of feature learning in two-layer networks after one gradient-step

oscar_2layer

phys-231-exercises

positional-and-semantic-attention

quenches-sk

rectangular_rie

Code for reproducing the results in "Optimal denoising of rotationally invariant rectangular matrices"

rigorous-dynamical-mean-field-theory

Code for "Rigorous dynamical mean field theory for stochastic gradient descent methods"

stochasticblockmodelvariants.jl

Simulation and inference for contextual and neural SBMs