MODE Collaboration
MODE Collaboration
Home
News
Publications
People
Events
Opportunities
Contact
Follow us on Linkedin
Light
Dark
Automatic
Andrea Giammanco
Principal Investigator/Professor
Université catholique de Louvain
Education
Latest
Progress in end-to-end optimization of fundamental physics experimental apparata with differentiable programming
Bias Reduction Using Expectation Maximization in the Optimization of an AI-Assisted Muon Tomography System
Optimisation of Muon Tomography Scanners for Border Control Using TomOpt
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
Cite
×