pehlevan-group Goto Github PK

autoencoder-exp

balancedeiminimax

ccanet

deep_structured_sm

dmft_fluctuations

A theory of finite width fluctuations around the DMFT for infinite width neural networks in the feature learning regime

dmft_wide_networks

Code to solve DMFT equations for infinite width feature learning networks

exactbayesiannetworkpriors

Code to generate figures from exact priors paper

fastspikingsampler

Code for the spiking sampler project

finite-width-bayesian

flylavaeolfaction

Matlab code for the fly larvae olfaction project in collaboration with Samuel lab

icl-asymptotic

Code for experiments and figures for "Asymptotic theory of in-context learning by linear attention."

kernel-generalization

kernel-ood-generalization

longsequencehopfieldmemory

Code for "Long Sequence Hopfield Memory"

nn_curvature

Codes for "Neural networks learn to magnify areas near decision boundaries"

ntk_learning_curves

olfaction-geometry

Code for "Neural circuits for fast Poisson compressed sensing in the olfactory bulb"

onset-of-variance

This is the code to reproduce most figures in https://arxiv.org/abs/2212.12147

rep-spectral

Code for "Spectral regularization for adversarially-robust representation learning"

representation-drift

Code for the representational drift project

s_transform

Reproducing all figures in upcoming draft

sample_efficient_pop_codes

sgd_structured_features

Learning Curves for SGD on Linearized Neural Networks

supervised-similarity-matching

td-rl-dynamics

Theory of Temporal Difference Learning Dynamics for High Dimensional Features