writings

Short documents usually come with a presentation and are below 50 pages. Long documents are rather notes from courses (> 100 pgs).

short

project thumbnail

Notes on the Neural Tangent Kernel

A beginners’ guide. Jan 2023
project thumbnail

Notions in Optimal Transport for Sigmoid Neural Networks

A beginners’ analysis of "On the Global Convergence of Gradient Descent for Over-Parameterized Models using Optimal Transport", Chizat, Bach, Jan 2023
project thumbnail

A view on Percolation and Spin Systems

Lecture, Bocconi University, Aula4b
project thumbnail

Five Lectures on Nonparametric Neural Networks

Lecture Notes
project thumbnail

Bipartite Matching, Framework and Solutions

A path to the Hungarian Algorithm and beyond, June 2022

long

project thumbnail

Probability Theory Hybrid Notes

A big theoretical course. Jan '23
project thumbnail

Statistical Physics for Optimization and Learning course, Lecture Notes

taught by Florent Krzakala, Lenka Zdeborová, 2021
project thumbnail

Geometric Deep Learning course, Lecture Notes

taught by Michael M. Bronstein, Joan Bruna, Taco Cohen, Petar Veličković, July 2022
project thumbnail

Message Passing and GLMs

Master's Thesis, April 2024

vintage

project thumbnail

Bayesian MCMC Probit

Markov Chain Monte Carlo Sampling from a Probit GLM, December 2021
project thumbnail

Support Vector Machine and Value of Information, an exploration

Bachelor Thesis, 2021
project thumbnail

Heartbeat classification and Disease detection

A Python notebook with two kaggle datasets, 2020
project thumbnail

COVID-19 Analysis

Python notebook analyzing the first wave of Covid in Italy, 2020

Other Projects 2

external link