johannbrehmer
Machine learner and physicist. Currently at Qualcomm AI Research Amsterdam. Previously at NYU, Imperial, and Heidelberg University.
Qualcomm AI ResearchAmsterdam
Pinned Repositories
geometric-algebra-transformer
ginkgo-rl
Reinforcement learning for clustering in Ginkgo
higgs_inference
Code repository for the paper "Constraining Effective Field Theories with Machine Learning"
manifold-flow
Manifold-learning flows (ℳ-flows)
pointers
Things that make me feel productive
rl-6-nimmt
Solving the card game 6 nimmt! with reinforcement learning
simulator-mining-example
Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free inference"
weakly-supervised-causal-representation-learning
madminer
Machine learning–based inference toolkit for particle physics
mining-for-substructure-lens
Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/abs/1909.02005.
johannbrehmer's Repositories
johannbrehmer/manifold-flow
Manifold-learning flows (ℳ-flows)
johannbrehmer/simulator-mining-example
Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free inference"
johannbrehmer/higgs_inference
Code repository for the paper "Constraining Effective Field Theories with Machine Learning"
johannbrehmer/pointers
Things that make me feel productive
johannbrehmer/ginkgo-rl
Reinforcement learning for clustering in Ginkgo
johannbrehmer/rl-6-nimmt
Solving the card game 6 nimmt! with reinforcement learning
johannbrehmer/goldmine
Mining gold from various simulators for better likelihood-free inference
johannbrehmer/slides
Collection of slides
johannbrehmer/geometric-algebra-transformer
johannbrehmer/phd_thesis
My PhD thesis on "New Ideas for Effective Higgs Measurements", defended 2017
johannbrehmer/PySR
Simple, fast, and parallelized symbolic regression in Python/Julia via regularized evolution and simulated annealing
johannbrehmer/weakly-supervised-causal-representation-learning
johannbrehmer/awkde
Adaptive Width KDE with Gaussian Kernels
johannbrehmer/benchmark
johannbrehmer/carl
Likelihood-free inference toolbox.
johannbrehmer/iris-hep.github.io
Institute for Research and Innovation in Software for High Energy Physics
johannbrehmer/johannbrehmer.github.io
johannbrehmer/madminer
An inference toolkit for LHC measurements
johannbrehmer/mining-for-substructure-lens
Inference of substructure properties in strong lensing systems.
johannbrehmer/nflows
Normalizing flows in PyTorch
johannbrehmer/paper-inferno
Code and manuscript for the paper "INFERNO: Inference-Aware Neural Optimisation". Automated mirror from CERN GitLab.
johannbrehmer/ReclusterTreeAlgorithms
johannbrehmer/recnn
Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"
johannbrehmer/stylegan2
StyleGAN2 - Official TensorFlow Implementation
johannbrehmer/ToyJetsShower
johannbrehmer/workflow-madminer