SPOC lab

double_descent_uncertainty

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

gibbs-sampler-neural-networks

Gibbs sampler for neural network posteriors

numerics-gibbs-sampling-neural-nets

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"

expectation-consistency

Code to compare variants of temperature scaling

FundamentalLimitsMultiIndex

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

OneStepGD_asymptotics

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

positional-and-semantic-attention

quenches-sk

algorithms_integer_traffic_assignment

BootstrapAsymptotics

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

Diffusion_GMM

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

Maximum-Average-Submatrix

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

phys-231-exercises

backtracking-dynamical-cavity

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

bpepi

Belief Propagation EPidemic Inference [bpepi]

DAE

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

DMFT-integration

Code to integrate the DMFT equations

dynamical-phase-transitions-GCAs

fixed_points_graph_CA

high-dimensional-uncertainty

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

Kernel_classification

numerics_integer_traffic_assignment

Oscar_2layer

StochasticBlockModelVariants.jl

Simulation and inference for contextual and neural SBMs