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Lukas Heinrich

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On the Codesign of Scientific Experiments and Industrial Systems
Optimization Using Pathwise Algorithmic Derivatives of Electromagnetic Shower Simulations
Differentiable Matrix Elements with MadJax
neos: End-to-End-Optimised Summary Statistics for High Energy Physics
Branches of a Tree: Taking Derivatives of Programs with Discrete and Branching Randomness in High Energy Physics
Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming: a White Paper

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