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Federico Nardi
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Differentiable Surrogate for Detector Simulation and Design with Diffusion Models
On the Codesign of Scientific Experiments and Industrial Systems
Progress in end-to-end optimization of fundamental physics experimental apparata with differentiable programming
End-to-End Detector Optimization with Diffusion Models: A Case Study in Sampling Calorimeters
Hadron Identification Prospects with Granular Calorimeters
Neuromorphic Readout for Hadron Calorimeters
TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography
Toward the end-to-end optimization of particle physics instruments with differentiable programming
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