Tommaso Dorigo

14 papers A* 1A 1Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Artificial Intelligence in Science and Society: The Vision of USERN.
IEEE Access
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, Fabien Lotte, Juan J. Nieto, Giulia Olivato, Peter Parnes, George Perry, Alice Plebe, Idupulapati M. Rao, Nima Rezaei, Fredrik Sandin, Andrey Ustyuzhanin, Giorgio Vallortigara, Pietro Vischia, Niloufar Yazdanpanah
2025 J jnl
Neuromorphic Readout for Hadron Calorimeters.
CoRR
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, Jan Kieseler, Anders Mikkelsen, Federico Nardi, Xuan Tung Nguyen, Fredrik Sandin, Kylian Schmidt, Pietro Vischia, Joseph Willmore
2025 J jnl
Strategic White Paper on AI Infrastructure for Particle, Nuclear, and Astroparticle Physics: Insights from JENA and EuCAIF.
CoRR
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, Ik Siong Heng, Paula Gina Isar, Karolos Potamianos, Liliana Teodorescu, John Veitch, Pietro Vischia, Christoph Weniger
2025 J jnl
Unsupervised Particle Tracking with Neuromorphic Computing.
CoRR
Emanuele Coradin, Fabio Cufino, Muhammad Awais, Tommaso Dorigo, Enrico Lupi, Eleonora Porcu, Jinu Raj, Fredrik Sandin, Mia Tosi
2024 A* conf
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference.
ICML
Luca Masserano, Alexander Shen, Michele Doro, Tommaso Dorigo, Rafael Izbicki, Ann B. Lee
2024 J jnl
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference.
CoRR
Luca Masserano, Alexander Shen, Michele Doro, Tommaso Dorigo, Rafael Izbicki, Ann B. Lee
2024 J jnl
TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography.
Mach. Learn. Sci. Technol.
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, Pietro Vischia, Haitham Zaraket
2023 A conf
Simulator-Based Inference with WALDO: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems.
AISTATS
Luca Masserano, Tommaso Dorigo, Rafael Izbicki, Mikael Kuusela, Ann B. Lee
2022 J jnl
Simulation-Based Inference with WALDO: Perfectly Calibrated Confidence Regions Using Any Prediction or Posterior Estimation Algorithm.
CoRR
Luca Masserano, Tommaso Dorigo, Rafael Izbicki, Mikael Kuusela, Ann B. Lee
2021 J jnl
Advanced Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider.
CoRR
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, Fabricio Jiménez Morales, Grzegorz Kotkowski, Seng Pei Liew, Fabio Maltoni, Giovanna Menardi, Ioanna Papavergou, Alessia Saggio, Bruno Scarpa, Giles C. Strong, Cecilia Tosciri, João Varela, Pietro Vischia, Andreas Weiler
2021 J jnl
The colours of the Higgs boson: a study in creativity and science motivation among high-school students in Italy.
Smart Learn. Environ.
Angelos N. Alexopoulos, Pier Stanislao Paolucci, Sofoklis A. Sotiriou, Franz Xaver Bogner, Tommaso Dorigo, Mariaelena Fedi, Dario Menasce, Michele Michelotto, Simone Paoletti, Francesca Scianitti
2020 J jnl
Dealing with Nuisance Parameters using Machine Learning in High Energy Physics: a Review.
CoRR
Tommaso Dorigo, Pablo de Castro
2019 J jnl
INFERNO: Inference-Aware Neural Optimisation.
Comput. Phys. Commun.
Pablo de Castro, Tommaso Dorigo
2018 J jnl
INFERNO: Inference-Aware Neural Optimisation.
CoRR
Pablo de Castro, Tommaso Dorigo