Cristiano Fanelli

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Machine Learning

Anomaly Detection

Theoretical Computer Science

Top Venues

Mach. Learn. Sci. Technol.

Comput. Softw. Big Sci.

Publications

Markus Diefenthaler, Cristiano Fanelli, L. O. Gerlach, Wen Guan, Tanja Horn, A. Jentsch, M. Lin, K. Nagai, Hemalata Nayak, C. Pecar, Karthik Suresh, Anselm Vossen, T. Wang, Torre J. Wenaus
AI-Assisted Detector Design for the EIC (AID(2)E). CoRR (2024)
Karthik Suresh, Neeltje Kackar, Luke Schleck, Cristiano Fanelli
Towards a RAG-based Summarization Agent for the Electron-Ion Collider. CoRR (2024)
Cristiano Fanelli, James Giroux
ELUQuant: event-level uncertainty quantification in deep inelastic scattering. Mach. Learn. Sci. Technol. 5 (1) (2024)
C. Allaire, R. Ammendola, E.-C. Aschenauer, M. Balandat, Marco Battaglieri, J. C. Bernauer, M. Bondì, N. Branson, T. Britton, Anja 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, Nobuo 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, Eric Walter, Daniel Whiteson, Michael Williams, S. Wu, N. Zachariou, P. Zurita
Artificial Intelligence for the Electron Ion Collider (AI4EIC). Comput. Softw. Big Sci. 8 (1) (2024)
Cristiano Fanelli, James Giroux, Justin Stevens
Deep(er) Reconstruction of Imaging Cherenkov Detectors with Swin Transformers and Normalizing Flow Models. CoRR (2024)
Cristiano Fanelli, James Giroux, Patrick Moran, Hemalata Nayak, Karthik Suresh, Eric Walter
Physics Event Classification Using Large Language Models. CoRR (2024)
James Giroux, Ariyarathne Gangani, Alexander C. Nwala, Cristiano Fanelli
Unmasking Social Bots: How Confident Are We? CoRR (2024)
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, Y. Gao, J. 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, M. 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, A. Vossen, E. Walter, Daniel Whiteson, Michael Williams, S. Wu, N. Zachariou, P. Zurita
Artificial Intelligence for the Electron Ion Collider (AI4EIC). CoRR (2023)
Cristiano Fanelli, James Giroux
ELUQuant: Event-Level Uncertainty Quantification in Deep Inelastic Scattering. CoRR (2023)
Cristiano Fanelli, J. Giroux, Z. Papandreou
"Flux+Mutability": A Conditional Generative Approach to One-Class Classification and Anomaly Detection. CoRR (2022)
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, Y. 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.
AI-assisted Optimization of the ECCE Tracking System at the Electron Ion Collider. CoRR (2022)
Cristiano Fanelli, J. Giroux, Z. Papandreou
'Flux+Mutability': a conditional generative approach to one-class classification and anomaly detection. Mach. Learn. Sci. Technol. 3 (4) (2022)
Cristiano Fanelli, A. Mahmood
Artificial Intelligence for Imaging Cherenkov Detectors at the EIC. CoRR (2022)
Cristiano Fanelli
Design of Detectors at the Electron Ion Collider with Artificial Intelligence. CoRR (2022)
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
Artificial Intelligence and Machine Learning in Nuclear Physics. CoRR (2021)
Cristiano Fanelli, Jary Pomponi
DeepRICH: learning deeply Cherenkov detectors. Mach. Learn. Sci. Technol. 1 (1) (2020)
Cristiano Fanelli
Machine Learning for Imaging Cherenkov Detectors. CoRR (2020)
Cristiano Fanelli, Jary Pomponi
DeepRICH: Learning Deeply Cherenkov Detectors. CoRR (2019)
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
AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case. CoRR (2019)