This is your work, valued
Machine learner and physicist. Currently at Qualcomm AI Research Amsterdam. Previously at NYU, Imperial, and Heidelberg University.
manifold-flow. Manifold-learning flows (ℳ-flows)
236simulator-mining-example. Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free inference"
34higgs_inference. Code repository for the paper "Constraining Effective Field Theories with Machine Learning"
22rl-6-nimmt. Solving the card game 6 nimmt! with reinforcement learning
15pointers. Things that make me feel productive
15ginkgo-rl. Reinforcement learning for clustering in Ginkgo
14goldmine. Mining gold from various simulators for better likelihood-free inference
7slides. Collection of slides
4lorentz-gatr. Python
1PySR. Simple, fast, and parallelized symbolic regression in Python/Julia via regularized evolution and simulated annealing
1weakly-supervised-causal-representation-learning. Python
1phd_thesis. My PhD thesis on "New Ideas for Effective Higgs Measurements", defended 2017
1geometric-algebra-transformer. Python
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