Tommaso Dorigo
Principal Investigator/Professor
INFN and Università of Padova
Education
Latest
- 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
- Toward the end-to-end optimization of the SWGO array layout
- Hadron Identification Prospects with Granular Calorimeters
- 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
- Calorimetric Measurement of Multi-TeV Muons via Deep Regression
- Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming: a White Paper
- Toward Machine Learning Optimization of Experimental Design
- Geometry optimization of a muon-electron scattering detector
- Muon Energy Measurement from Radiative Losses in a Calorimeter for a Collider Detector
- INFERNO: Inference-Aware Neural Optimisation