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Journal Articles
- 2024
[j3]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:
TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography. Mach. Learn. Sci. Technol. 5(3): 35002 (2024)- 2021
- [j2]Angelos N. Alexopoulos, Pier Stanislao Paolucci, Sofoklis A. Sotiriou, Franz Xaver Bogner, Tommaso Dorigo, Mariaelena Fedi, Dario Menasce, Michele Michelotto, Simone Paoletti, Francesca Scianitti:
The colours of the Higgs boson: a study in creativity and science motivation among high-school students in Italy. Smart Learn. Environ. 8(1): 23 (2021) - 2019
- [j1]Pablo de Castro, Tommaso Dorigo:
INFERNO: Inference-Aware Neural Optimisation. Comput. Phys. Commun. 244: 170-179 (2019)
Conference and Workshop Papers
- 2024
- [c2]Luca Masserano, Alexander Shen, Michele Doro, Tommaso Dorigo, Rafael Izbicki, Ann B. Lee:
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference. ICML 2024 - 2023
- [c1]Luca Masserano, Tommaso Dorigo, Rafael Izbicki, Mikael Kuusela, Ann B. Lee:
Simulator-Based Inference with WALDO: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems. AISTATS 2023: 2960-2974
Informal and Other Publications
- 2024
- [i5]Luca Masserano, Alexander Shen, Michele Doro, Tommaso Dorigo, Rafael Izbicki, Ann B. Lee:
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference. CoRR abs/2402.05330 (2024) - 2022
- [i4]Luca Masserano, Tommaso Dorigo, Rafael Izbicki, Mikael Kuusela, Ann B. Lee:
Simulation-Based Inference with WALDO: Perfectly Calibrated Confidence Regions Using Any Prediction or Posterior Estimation Algorithm. CoRR abs/2205.15680 (2022) - 2021
- [i3]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:
Advanced Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider. CoRR abs/2105.07530 (2021) - 2020
- [i2]Tommaso Dorigo, Pablo de Castro:
Dealing with Nuisance Parameters using Machine Learning in High Energy Physics: a Review. CoRR abs/2007.09121 (2020) - 2018
- [i1]Pablo de Castro, Tommaso Dorigo:
INFERNO: Inference-Aware Neural Optimisation. CoRR abs/1806.04743 (2018)
Coauthor Index
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