Johann Brehmer's Projects
Adaptive Width KDE with Gaussian Kernels
Likelihood-free inference toolbox.
Reinforcement learning for clustering in Ginkgo
Mining gold from various simulators for better likelihood-free inference
Code repository for the paper "Constraining Effective Field Theories with Machine Learning"
Institute for Research and Innovation in Software for High Energy Physics
An inference toolkit for LHC measurements
Manifold-learning flows (ℳ-flows)
Inference of substructure properties in strong lensing systems.
Normalizing flows in PyTorch
Code and manuscript for the paper "INFERNO: Inference-Aware Neural Optimisation". Automated mirror from CERN GitLab.
My PhD thesis on "New Ideas for Effective Higgs Measurements", defended 2017
Things that make me feel productive
Simple, fast, and parallelized symbolic regression in Python/Julia via regularized evolution and simulated annealing
Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"
Solving the card game 6 nimmt! with reinforcement learning
Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free inference"
Collection of slides
StyleGAN2 - Official TensorFlow Implementation