INFERNO: Inference-Aware Neural Optimisation. - Pablo de Castro; Tommaso Dorigo (Comput. Phys. Commun., 2019)

Dealing with Nuisance Parameters using Machine Learning in High Energy Physics: a Review. - Tommaso Dorigo; Pablo de Castro (CoRR, 2020)

Advanced Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider. - Anna Stakia; Tommaso Dorigo; Giovanni Banelli; Daniela Bortoletto; Alessandro Casa; Pablo de Castro; Christophe Delaere; Julien Donini; Livio Finos; Michele Gallinaro; Andrea Giammanco; Alexander Held; et al. (CoRR, 2021)

The colours of the Higgs boson: a study in creativity and science motivation among high-school students in Italy. - Angelos N. Alexopoulos; Pier Stanislao Paolucci; Sofoklis A. Sotiriou; Franz Xaver Bogner; Tommaso Dorigo; Mariaelena Fedi; Dario Menasce; Michele Michelotto; Simone Paoletti; Francesca Scianitti (Smart Learn. Environ., 2021)

Simulation-Based Inference with WALDO: Perfectly Calibrated Confidence Regions Using Any Prediction or Posterior Estimation Algorithm. - Luca Masserano; Tommaso Dorigo; Rafael Izbicki; Mikael Kuusela; Ann B. Lee (CoRR, 2022)

Simulator-Based Inference with WALDO: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems. - Luca Masserano; Tommaso Dorigo; Rafael Izbicki; Mikael Kuusela; Ann B. Lee (AISTATS, 2023)

Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference. - Luca Masserano; Alexander Shen 003; Michele Doro; Tommaso Dorigo; Rafael Izbicki; Ann B. Lee (ICML, 2024)

TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography. - Giles C. Strong; Maxime Lagrange; Aitor Orio; Anna Bordignon; Florian Bury; Tommaso Dorigo; Andrea Giammanco; Mariam Heikal; Jan Kieseler; Max Lamparth; Pablo Martínez Ruíz del Árbol; Federico Nardi; et al. (Mach. Learn. Sci. Technol., 2024)

Artificial Intelligence in Science and Society: The Vision of USERN. - Tommaso Dorigo; Gary D. Brown; Carlo Casonato; Artemi Cerdà; Joseph Ciarrochi; Mauro Da Lio; Nicole D'Souza; Nicolas R. Gauger; Steven C. Hayes; Stefan G. Hofmann; Robert Johansson; Marcus Liwicki; et al. (IEEE Access, 2025)

Unsupervised Particle Tracking with Neuromorphic Computing. - Emanuele Coradin; Fabio Cufino; Muhammad Awais; Tommaso Dorigo; Enrico Lupi; Eleonora Porcu; Jinu Raj; Fredrik Sandin; Mia Tosi (CoRR, 2025)

Neuromorphic Readout for Hadron Calorimeters. - Enrico Lupi; Abhishek; Max Aehle; Muhammad Awais; Alessandro Breccia; Riccardo Carroccio; Long Chen; Abhijit Das; Andrea De Vita; Tommaso Dorigo; Nicolas R. Gauger; Ralf Keidel; et al. (CoRR, 2025)

Strategic White Paper on AI Infrastructure for Particle, Nuclear, and Astroparticle Physics: Insights from JENA and EuCAIF. - Sascha Caron; Andreas Ipp; Gert Aarts; Gábor Bíró; Daniele Bonacorsi; Elena Cuoco; Caterina Doglioni; Tommaso Dorigo; Julián García Pardiñas; Stefano Giagu; Tobias Golling; Lukas Heinrich; et al. (CoRR, 2025)