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Name: Arnau Quera-Bofarull

Type: User

Bio: Astrophysicist now doing research on agent-based modeling at Oxford.

Location: Oxford

Blog: arnau.ai

Hi, I'm Arnau 👋

I'm a postdoctoral researcher at Oxford University. Currently, interested in applying AI to improve how we simulate physical and social systems. Checkout my latest research and publications on my personal website (www.arnau.ai).

🐧 Checkout my latest software package to calibrate differentiable simulators, with specific emphasis on variational inference for differentiable agent-based models code paper
🐛I've worked a lot on epidemiological differentiable simulators. I am a core developer of JUNE and I have recently developed a differentiable implementation.
⭐I love the Julia programming language and I have used it to implement a simulator of black-hole outflows with radiation transfer.

Arnau Quera-Bofarull's Projects

arnauqb

arnauqb.github.io

bayesian_gradabm

bhpp

BH++: A Black Hole Geodesics Integrator in C++

blackbirds

Black-Box Inference foR Differentiable Simulators

concavehull.jl

Julia package for calculating 2D concave/convex hulls

diffeqbase.jl

The lightweight Base library for shared types and functionality.

dotfiles

example_module

example_project

Minimum example of a code project

gadfly.jl

Crafty statistical graphics for Julia.

gitworkshop

A few git examples

google-drive-downloader

Minimal class to download shared files from Google Drive.

gradabm

Differentiable Agent-based Epidemiology

gradabm-june

Implementation of the JUNE model using Graph Neural Networks in PyTorch

graphneuralnetworks.jl

Graph Neural Networks in Julia

gumbelsoftmax.jl

Julia implementation of the Gumbel-Softmax reparametrization trick using Zygote.jl

jit-interpolate

june

lac-poster

lac-poster-of

models

Models and examples built with TensorFlow

normalizing-flows

PyTorch implementation of normalizing flow models

one_shot_sensitivity

Code to reproduce the results of the paper "Don’t Simulate Twice: One-Shot Sensitivity Analyses via Automatic Differentiation" presented at AAMAS 2023.

planets

planets2

plotting

Useful plotting scripts

pymultinest

Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.

pyquad

A fast, parallel python wrapper for the GSL integration library

qsosed

Python module to compute the SED of an AGN following Kubota & Done (2018).

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