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followers: 18.0 following: 38.0 repos: 22.0 gists: 0.0

Name: Niccolò Ajroldi

Type: User

Company: MPI-IS

Bio: AI Research Engineer at MPI-IS, ex AI Resident at Meta.

Twitter: n_ajroldi

Location: Tübingen, DE

Blog: https://www.linkedin.com/in/niccol%C3%B2-ajroldi-67653b196/

I like ML.

Here you can find a copy of my CV.

You can find me also on:

Publications

Conformal Prediction Bands for Two-Dimensional Functional Time Series
Ajroldi, Diquigiovanni, Fontana, Vantini, Computational Statistics & Data Analysis, 2023.
We develop algorithms to forecast time evolving surfaces and estimate prediction uncertainty. We introduce estimation techniques for functional autoregressive models and revisit distribution-free uncertainty quantification techniques for this setting.

Continuous and early prediction of Acute Kidney Injury in critically ill patients
Alfieri, Ancona, Tripepi, Rubeis, Ajroldi, Finazzi, Cauda, Fagugli, (2023), on PLOS ONE.
We propose a novel ML model to continuosly predict Acute Kidney Injury episodes in Intensive Care Units using routinely-available data. The model is tested through a multi-centric, multi-national external validation procedure.

Other research projects

Personal projects

Niccolò Ajroldi's Projects

algorithmic-efficiency

MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.

amsterdamumcdb

AmsterdamUMCdb - Freely Accessible ICU database. Please access our Open Access manuscript at https://doi.org/10.1097/CCM.0000000000004916

arma-surfaces

Simulation of Functional Autoregressive Moving Average Processes for surface date.

backpack-stat

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

cluster_101

covews

The COVID-19 Early Warning System (CovEWS) is a real-time early warning system for assessing individual COVID-19 related mortality risk.

dash-manufacture-spc-dashboard

A manufacture dashboard demo app showing real-time process control.

deephazard

DeepHazard: Neural Network for Time Varying Risks

functional-autoregressive-process-2d

Repository containing a gif of the evolution of a Functional Autoregressive Process of order one, namley a FAR(1) model.

functional-bnp-clustering

Bayesian nonparametric clustering of functional data.

hackerrank-solutions

Personal solutions for some HackerRank challenges. Solutions are in Python or C++.

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

niccolo-ajroldi

My personal repository!

nlp-codes

Learning NLP using Python & Keras. Python scripts are developed starting from "Deep Learning with Python" book.

nonparametric-statistics-project

Nonparametric analysis of 2020 US presidential elections.

orcutt

Repository forked from cran/orcutt. Customiztion of "cochrane.orcutt" function in order to allow for two-tailed Durbin-Watson test.

pca-for-surfaces

Principal Component Analysis of surfaces, i.e. functions defined on a bivariate domain.

shiny-app-black-sea-forecast

Shiny App implementation. Forecasting Black Sea anomalies + Conformal Prediction bands.

thesis-bachelor

timevaryingdata_ltrcforests

torch_hessian

2nd order optimization in PyTorch

tries-ts-cp

Exploratory codes for Conformal Prediction inference for time series data.

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