SPOC lab

counting-attention

double_descent_uncertainty

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

ExtensiveWidthQuadraticSamples

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

gibbs-sampler-neural-networks

Gibbs sampler for neural network posteriors

numerics-gibbs-sampling-neural-nets

OneStepGD_asymptotics

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

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"

SPOC-group/positional-and-semantic-attention

SPOC-group/bilinear-sequence-regression

Code for the paper "Bilinear Sequence Regression: Model for Learning from Long Sequences of High-dimensional Tokens"

SPOC-group/Rigorous-dynamical-mean-field-theory

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

SPOC-group/gibbs-sampler-neural-networks

Gibbs sampler for neural network posteriors

SPOC-group/counting-attention

SPOC-group/double_descent_uncertainty

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

SPOC-group/numerics-gibbs-sampling-neural-nets

SPOC-group/rectangular_RIE

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

SPOC-group/expectation-consistency

Code to compare variants of temperature scaling

SPOC-group/ExtensiveWidthQuadraticSamples

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

SPOC-group/FundamentalLimitsMultiIndex

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

SPOC-group/OneStepGD_asymptotics

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

SPOC-group/quenches-sk

SPOC-group/algorithms_integer_traffic_assignment

SPOC-group/BootstrapAsymptotics

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

SPOC-group/DAE

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

SPOC-group/Diffusion_GMM

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

SPOC-group/Kernel_classification

SPOC-group/Maximum-Average-Submatrix

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

SPOC-group/phys-231-exercises

SPOC-group/backtracking-dynamical-cavity

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

SPOC-group/bpepi

Belief Propagation EPidemic Inference [bpepi]

SPOC-group/DMFT-integration

Code to integrate the DMFT equations

SPOC-group/dynamical-phase-transitions-GCAs

SPOC-group/fixed_points_graph_CA

SPOC-group/high-dimensional-uncertainty

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

SPOC-group/numerics_integer_traffic_assignment

SPOC-group/Oscar_2layer

SPOC-group/phys-467-exercises

Collection of exercises of the Machine learning for physicists course

SPOC-group/StochasticBlockModelVariants.jl

Simulation and inference for contextual and neural SBMs