Article-Journal

TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography
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Differentiable Matrix Elements with MadJax
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neos: End-to-End-Optimised Summary Statistics for High Energy Physics
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Calorimetric Measurement of Multi-TeV Muons via Deep Regression
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Optimising longitudinal and lateral calorimeter granularity for software compensation in hadronic showers using deep neural networks
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Toward Machine Learning Optimization of Experimental Design
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Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph, and image data
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The frontier of simulation-based inference
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Geometry optimization of a muon-electron scattering detector
A high-statistics determination of the differential cross section of elastic muon-electron scattering as a function of the transferred …
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MadMiner: Machine learning-based inference for particle physics
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