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Hi there 👋

I like using generative models to extract information in Bayesian inference problems on fundamental physics in cosmology.

Right now i'm working on

  • a simulation-based inference (SBI) package in jax,
  • field-level inference pipelines using generative models.

I'm interested in generative models...

...transformer models & geometric deep learning in general...

...and statistical problems in general

I also teach MSc Physics students in the Physik x AI labs at LMU Physik where I write teaching material that delivers machine learning insights derived from problems in physics.

My goal is to show students cutting edge algorithms and statistical methods that they will not learn anywhere else.

Jed Homer's Projects

cct icon cct

Implementation of 'Escaping the Big Data Paradigm with Compact Transformers' (Hassani++21) in JAX.

cdc_work icon cdc_work

Work done at the Cosmic Dawn Centre, Copenhagen in Summer 2019.

cosmo_prob_notebooks icon cosmo_prob_notebooks

Notebooks of code for use in the 'Probability of the Cosmos; Quantum, Classical and Bayesian' tutorials.

equinox icon equinox

Elegant easy-to-use neural networks in JAX. https://docs.kidger.site/equinox/

etsformer-pytorch icon etsformer-pytorch

Implementation of ETSformer, state of the art time-series Transformer, in Pytorch

frequentist_matching_priors icon frequentist_matching_priors

Implementation of 'Matching Bayesian and frequentist coverage probabilities when using an approximate data covariance matrix' (Percival++21) in JAX.

gan_tutorial icon gan_tutorial

Tutorial for Generative Adversarial Networks (GANs) in PyTorch.

haiku_gmm icon haiku_gmm

Simple Gaussian mixture model (GMM) in JAX, Haiku and Distrax.

hbnn icon hbnn

Hierarchical Bayesian network ensembles in JAX.

maf icon maf

Masked Autoregressive Flow (MAF) in JAX and Equinox

pydelfi icon pydelfi

Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations

pyknit icon pyknit

Generate designs for pictures that can be knitted in wool.

relativity_vpy icon relativity_vpy

Simulations of concepts in special relativity using vPython (version 7).

sample_flow icon sample_flow

Simple code to sample a posterior with a normalizing flow likelihood in JAX.

set_transformer icon set_transformer

Implementation of a Set Transformer in JAX from the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks' by Lee et al. (2019)

simple_vision_transformer icon simple_vision_transformer

Lightweight implementation of 'An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale' (Dosovitskiy++21) in JAX.

sisyphus icon sisyphus

A Terrible Program Built To Punish Every Fibre Of The Computer.

vdae icon vdae

Implementation of 'Variational Diffusion Auto-encoder: Latent Space Extraction from Pre-trained Diffusion Models' (Batzolis++23) in JAX.

vdm icon vdm

Implementation and extension of 'Variational Diffusion Models' (Kingma++21) in JAX and Equinox.

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