MODE Collaboration
MODE Collaboration
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Tommaso Dorigo
Principal Investigator/Professor
INFN and Università of Padova
Education
Latest
Differentiable Surrogate for Detector Simulation and Design with Diffusion Models
Progress in end-to-end optimization of fundamental physics experimental apparata with differentiable programming
Hadron Identification Prospects with Granular Calorimeters
On the utility function of experiments in fundamental science
End-to-End Detector Optimization with Diffusion models: A Case Study in Sampling Calorimeters
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
Optimisation of Muon Tomography Scanners for Border Control Using TomOpt
Unsupervised Particle Tracking with Neuromorphic Computing
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: a White Paper
Geometry optimization of a muon-electron scattering detector
INFERNO: Inference-Aware Neural Optimisation
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