rodsveiga

BP_LDPC

Message passing algorithms applied to low density parity check codes

Coursera-Inferential_Statistics_with_R

This repository contains activities and lectures notes from the Coursera Inferential Statistics course, which is part of the Statistics with R specialization.

growth_rate

Growth rate and growth acceleration COVID-19

hidden_physical_models

ICU_demand

Code for "Age-structured estimation of COVID-19 ICU demand from low quality data"

mc_perceptron

Code for Learning curves for the multi-class teacher-student perceptron

phdiag_sgd

Repository of the "Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural network"

PINNs

Physics Informed Neural Networks

rbm_flows_ising

Code for "Restricted Boltzmann Machine Flows and The Critical Temperature of Ising models"

sparse_id

Sparse identification of nonlinear governing equations

rodsveiga/PINNs

Physics Informed Neural Networks

rodsveiga/rbm_flows_ising

Code for "Restricted Boltzmann Machine Flows and The Critical Temperature of Ising models"

rodsveiga/phdiag_sgd

Repository of the "Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural network"

rodsveiga/hidden_physical_models

rodsveiga/BP_LDPC

Message passing algorithms applied to low density parity check codes

rodsveiga/mc_perceptron

Code for Learning curves for the multi-class teacher-student perceptron

rodsveiga/sgf_dyn

Repository of the paper "SGF Flow Dynamics of Test Risk and its Exact Solution for Weak Features"

rodsveiga/sparse_id

Sparse identification of nonlinear governing equations

rodsveiga/growth_rate

Growth rate and growth acceleration COVID-19

rodsveiga/ICU_demand

Code for "Age-structured estimation of COVID-19 ICU demand from low quality data"

rodsveiga/2021-exp-ICM

rodsveiga/AMP_tutorial

AMP tutorial provided by the SPHINX team.

rodsveiga/decoders

Python/NumPy implementations of commonly used decoders for LDPC codes.

rodsveiga/gaussian-equiv-2layer

Code and resources for "The Gaussian equivalence of generative models for learning with two-layer neural networks" [https://arxiv.org/abs/2006.14709]

rodsveiga/GaussMixtureProject

Repository of the "Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions" Neurips submission

rodsveiga/hugo-academic-site

rodsveiga/ICU2_states

rodsveiga/loss-landscape

Code for visualizing the loss landscape of neural nets

rodsveiga/maxent

rodsveiga/mtheme

A modern LaTeX Beamer theme

rodsveiga/nn2pp

Utilities to train two-layer neural networks

rodsveiga/notebooks

Jupyter notebooks for my blog

rodsveiga/PHYS-642

rodsveiga/pyscm

(Online) learning in two-layer neural networks

rodsveiga/rodsveiga.github.io

rodsveiga/script_ICU_growth

rodsveiga/svd_dyn

rodsveiga/tramp

Tree Approximate Message Passing

rodsveiga/Udacity-ML-Nanodegree

Content for Udacity's Machine Learning Engineer Nanodegree curriculum, which includes projects and their descriptions.

rodsveiga/van_error_codes