Cristiano Fanelli

According to our database, Cristiano Fanelli authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Artificial Intelligence for the Electron Ion Collider (AI4EIC).

C. Allaire, R. Ammendola, E.-C. Aschenauer, M. Balandat, Marco Battaglieri, J. C. Bernauer, M. Bondì, N. Branson, T. Britton, A. Butter, I. Chahrour, P. Chatagnon, Evaristo Cisbani, E. W. Cline, S. Dash, C. T. Dean, W. Deconinck, A. Deshpande, Markus Diefenthaler, R. Ent, Cristiano Fanelli, M. Finger, E. Fol, S. Furletov, Y. Gao, James Giroux, N. C. Gunawardhana Waduge, O. Hassan, P. L. Hegde, Roger José Hernández-Pinto, Astrid N. Hiller Blin, Tanja Horn, J. Huang, A. Jalotra, D. Jayakodige, B. Joo, M. Junaid, N. Kalantarians, Piyush Karande, B. Kriesten, R. Kunnawalkam Elayavalli, Y. Li, M. Lin, Frank Liu, S. Liuti, G. Matousek, Matthew McEneaney, Diana McSpadden, T. Menzo, T. Miceli, Vinicius Mikuni, R. Montgomery, Benjamin Nachman, R. R. Nair, J. Niestroy, S. A. Ochoa Oregon, J. Oleniacz, J. D. Osborn, C. Paudel, C. Pecar, C. Peng, Gabriel N. Perdue, W. Phelps, M. L. Purschke, H. Rajendran, K. Rajput, Y. Ren, David Francisco Rentería-Estrada, D. Richford, B. J. Roy, D. Roy, A. Saini, N. Sato, T. Satogata, German Sborlini, Malachi Schram, D. Shih, J. Singh, R. Singh, A. Siodmok, J. Stevens, P. Stone, L. Suarez, K. Suresh, A.-N. Tawfik, Fernando Torales Acosta, N. Tran, R. Trotta, F. J. Twagirayezu, R. Tyson, S. Volkova, Anselm Vossen, E. Walter, Daniel Whiteson, Michael Williams, S. Wu, N. Zachariou, P. Zurita

Comput. Softw. Big Sci., December, 2024

ELUQuant: event-level uncertainty quantification in deep inelastic scattering.

Cristiano Fanelli, James Giroux

Mach. Learn. Sci. Technol., March, 2024

Towards a RAG-based Summarization Agent for the Electron-Ion Collider.

Karthik Suresh, Neeltje Kackar, Luke Schleck, Cristiano Fanelli

CoRR, 2024

2023

Artificial Intelligence for the Electron Ion Collider (AI4EIC).

C. Allaire, R. Ammendola, E.-C. Aschenauer, M. Balandat, Marco Battaglieri, J. C. Bernauer, M. Bondì, N. Branson, Thomas Britton, A. Butter, I. Chahrour, P. Chatagnon, Evaristo Cisbani, E. W. Cline, S. Dash, C. T. Dean, W. Deconinck, A. Deshpande, Markus Diefenthaler, R. Ent, Cristiano Fanelli, M. Finger, M. Finger Jr., E. Fol, S. Furletov, Yuan Gao, James Giroux, N. C. Gunawardhana Waduge, R. Harish, O. Hassan, P. L. Hegde, Roger José Hernández-Pinto, Astrid N. Hiller Blin, Tanja Horn, J. Huang, D. Jayakodige, B. Joo, M. Junaid, Piyush Karande, B. Kriesten, R. Kunnawalkam Elayavalli, M. Lin, Frank Liu, S. Liuti, G. Matousek, Matthew McEneaney, Diana McSpadden, T. Menzo, T. Miceli, Vinicius Mikuni, R. Montgomery, Benjamin Nachman, R. R. Nair, J. Niestroy, S. A. Ochoa Oregon, J. Oleniacz, J. D. Osborn, C. Paudel, C. Pecar, C. Peng, Gabriel N. Perdue, W. Phelps, M. L. Purschke, K. Rajput, Y. Ren, David Francisco Rentería-Estrada, D. Richford, B. J. Roy, D. Roy, N. Sato, T. Satogata, German Sborlini, Malachi Schram, D. Shih, J. Singh, R. Singh, A. Siodmok, P. Stone, J. Stevens, L. Suarez, K. Suresh, A.-N. Tawfik, Fernando Torales Acosta, N. Tran, R. Trotta, F. J. Twagirayezu, R. Tyson, S. Volkova, Anselm Vossen, E. Walter, Daniel Whiteson, Michael Williams, S. Wu, N. Zachariou, P. Zurita

CoRR, 2023

2022

'Flux+Mutability': a conditional generative approach to one-class classification and anomaly detection.

Cristiano Fanelli, James Giroux, Z. Papandreou

Mach. Learn. Sci. Technol., December, 2022

AI-assisted Optimization of the ECCE Tracking System at the Electron Ion Collider.

Cristiano Fanelli, Z. Papandreou, K. Suresh, J. K. Adkins, Y. Akiba, A. Albataineh, M. Amaryan, I. C. Arsene, C. Ayerbe Gayoso, J. Bae, X. Bai, M. D. Baker, M. Bashkanov, R. Bellwied, F. Benmokhtar, Vladimir Berdnikov, J. C. Bernauer, F. Bock, W. Boeglin, M. Borysova, E. Brash, P. Brindza, W. J. Briscoe, M. Brooks, S. Bueltmann, M. H. S. Bukhari, A. Bylinkin, Richard Capobianco, W.-C. Chang, Y. Cheon, K. Chen, K.-F. Chen, K.-Y. Cheng, M. Chiu, T. Chujo, Z. Citron, E. Cline, E. Cohen, T. Cormier, Yasser Corrales Morales, C. Cotton, J. Crafts, C. Crawford, S. Creekmore, C. Cuevas, J. Cunningham, G. David, C. T. Dean, Marcellinus Demarteau, Stefan Diehl, N. Doshita, R. Dupre, J. M. Durham, R. Dzhygadlo, R. Ehlers, L. El Fassi, A. Emmert, R. Ent, R. Fatemi, S. Fegan, M. Finger, M. Finger Jr., J. Frantz, M. Friedman, I. Friscic, et al.

CoRR, 2022

Artificial Intelligence for Imaging Cherenkov Detectors at the EIC.

Cristiano Fanelli, A. Mahmood

CoRR, 2022

Design of Detectors at the Electron Ion Collider with Artificial Intelligence.

Cristiano Fanelli

CoRR, 2022

2021

Artificial Intelligence and Machine Learning in Nuclear Physics.

Amber Boehnlein, Markus Diefenthaler, Cristiano Fanelli, Morten Hjorth-Jensen, Tanja Horn, Michelle P. Kuchera, Dean Lee, Witold Nazarewicz, Kostas Orginos, Peter Ostroumov, Long-Gang Pang, Alan Poon, Nobuo Sato, Malachi Schram, Alexander Scheinker, Michael S. Smith, Xin-Nian Wang, Veronique Ziegler

CoRR, 2021

2020

DeepRICH: learning deeply Cherenkov detectors.

Cristiano Fanelli, Jary Pomponi

Mach. Learn. Sci. Technol., 2020

Machine Learning for Imaging Cherenkov Detectors.

Cristiano Fanelli

CoRR, 2020

2019

AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case.

Evaristo Cisbani, Alessio Del Dotto, Cristiano Fanelli, Michael Williams, M. Alfred, Fernando Barbosa, Luca Barion, Vladimir Berdnikov, William Brooks, Tongtong Cao, Marco Contalbrigo, Samuel Danagoulian, A. Datta, Marcellinus Demarteau, A. Denisov, Markus Diefenthaler, A. Durum, D. Fields, Yulia Furletova, Colin Gleason, Matthias Grosse-Perdekamp, Mohammad Hattawy, Xu-Gang He, Hubert van Hecke, Douglas Higinbotham, Tanja Horn, Charles Hyde, Yordanka Ilieva, Grzegorz Kalicy, A. Kebede, B. Kim, Ming Liu, J. McKisson, Rodrigo Mendez, Pawel Nadel-Turonski, Ian Pegg, Dmitry Romanov, Murad Sarsour, C. L. da Silva, J. Stevens, Xu Sun, S. Syed, Rusty Towell, Junqi Xie, Zhiwen Zhao, Benedikt Zihlmann, Carl Zorn

CoRR, 2019