Caterina Doglioni

According to our database, Caterina Doglioni authored at least 5 papers between 2021 and 2025.

Collaborative distances:

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

2025

Analysis Facilities for the HL-LHC White Paper.

Diego Ciangottini, Alessandra Forti, Lukas Heinrich, Nicola Skidmore, C. Alpigiani, M. Aly, D. Benjamin, B. Bockelman, L. Bryant, J. Catmore, M. D'Alfonso, Antonio Delgado Peris, Caterina Doglioni, G. Duckeck, Peter Elmer, Jonas Eschle, Matthew Feickert, J. Frost, Robert W. Gardner, Vincent Garonne, M. Giffels, J. Gooding, E. Gramstad, Lindsey Gray, Benedikt Hegner, A. Held, José M. Hernández, Burt Holzman, F. Hu, Brij Kishor Jashal, Dmitry Kondratyev, Evangelos Kourlitis, Luke Kreczko, I. Krommydas, T. Kuhr, Eric Lancon, Clemens Lange, David Lange, J. Lange, P. Lenzi, Tomas Lindén, Verena Ingrid Martinez Outschoorn, Shawn McKee, J. F. Molina, Mark S. Neubauer, A. Novak, Ianna Osborne, Farid Ould-Saada, Adela Pagès-Bernaus, Kevin Pedro, Antonio Perez-Calero Yzquierdo, S. Piperov, James Pivarski, Eduardo Rodrigues, Niladri Sahoo, Andrea Sciabà, M. Schulz, L. Sexton-Kennedy, Oksana Shadura, Tibor Simko, Nicholas Smith, Daniele Spiga, Giordon Stark, Graeme A. Stewart, Ilija Vukotic, Gordon Watts

Comput. Softw. Big Sci., December, 2025

Knowledge is Overrated: A zero-knowledge machine learning and cryptographic hashing-based framework for verifiable, low latency inference at the LHC.

Pratik Jawahar, Caterina Doglioni, Maurizio Pierini

CoRR, November, 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, Ik Siong Heng, Paula Gina Isar, Karolos Potamianos, Liliana Teodorescu, John Veitch, Pietro Vischia, Christoph Weniger

CoRR, March, 2025

2022

FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective.

Eliu A. Huerta, Ben Blaiszik, L. Catherine Brinson, Kristofer E. Bouchard, Daniel Diaz, Caterina Doglioni, Javier M. Duarte, Murali Emani, Ian T. Foster, Geoffrey C. Fox, Philip C. Harris, Lukas Heinrich, Shantenu Jha, Daniel S. Katz, Volodymyr V. Kindratenko, Christine R. Kirkpatrick, Kati Lassila-Perini, Ravi K. Madduri, Mark S. Neubauer, Fotis E. Psomopoulos, Avik Roy, Oliver Rübel, Zhizhen Zhao, Ruike Zhu

CoRR, 2022

2021

Applications and Techniques for Fast Machine Learning in Science.

Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Thomas K. Warburton, Maria Acosta Flechas, Anthony Aportela, Thomas Calvet, Leonardo Cristella, Daniel Diaz, Caterina Doglioni, Maria Domenica Galati, Elham E Khoda, Farah Fahim, Davide Giri, Benjamin Hawks, Duc Hoang, Burt Holzman, Shih-Chieh Hsu, Sergo Jindariani, Iris Johnson, Raghav Kansal, Ryan Kastner, Erik Katsavounidis, Jeffrey D. Krupa, Pan Li, Sandeep Madireddy, Ethan Marx, Patrick McCormack, Andres Meza, Jovan Mitrevski, Mohammed Attia Mohammed, Farouk Mokhtar, Eric A. Moreno, Srishti Nagu, Rohin Narayan, Noah Palladino, Zhiqiang Que, Sang Eon Park, Subramanian Ramamoorthy, Dylan S. Rankin, Simon Rothman, Ashish Sharma, Sioni Summers, Pietro Vischia, Jean-Roch Vlimant, Olivia Weng

CoRR, 2021