Elia Cellini

11 papers A* 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
A scalable flow-based approach to mitigate topological freezing.
CoRR
Claudio Bonanno, Andrea Bulgarelli, Elia Cellini, Alessandro Nada, Dario Panfalone, Davide Vadacchino, Lorenzo Verzichelli
2025 A* conf
Multilevel Generative Samplers for Investigating Critical Phenomena.
ICLR
Ankur Singha, Elia Cellini, Kim Andrea Nicoli, Karl Jansen, Stefan Kühn, Shinichi Nakajima
2025 J jnl
Multilevel Generative Samplers for Investigating Critical Phenomena.
CoRR
Ankur Singha, Elia Cellini, Kim A. Nicoli, Karl Jansen, Stefan Kühn, Shinichi Nakajima
2025 J jnl
Scaling flow-based approaches for topology sampling in SU}(3) gauge theory.
CoRR
Claudio Bonanno, Andrea Bulgarelli, Elia Cellini, Alessandro Nada, Dario Panfalone, Davide Vadacchino, Lorenzo Verzichelli
2025 J jnl
Studying Effective String Theory using deep generative models.
CoRR
Michele Caselle, Elia Cellini, Alessandro Nada
2024 J jnl
Flow-based Sampling for Entanglement Entropy and the Machine Learning of Defects.
CoRR
Andrea Bulgarelli, Elia Cellini, Karl Jansen, Stefan Kühn, Alessandro Nada, Shinichi Nakajima, Kim A. Nicoli, Marco Panero
2024 J jnl
Numerical determination of the width and shape of the effective string using Stochastic Normalizing Flows.
CoRR
Michele Caselle, Elia Cellini, Alessandro Nada
2024 J jnl
Scaling of Stochastic Normalizing Flows in SU(3) lattice gauge theory.
CoRR
Andrea Bulgarelli, Elia Cellini, Alessandro Nada
2024 J jnl
Stochastic normalizing flows for Effective String Theory.
CoRR
Michele Caselle, Elia Cellini, Alessandro Nada
2023 J jnl
Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows.
CoRR
Michele Caselle, Elia Cellini, Alessandro Nada
2022 J jnl
Stochastic normalizing flows as non-equilibrium transformations.
CoRR
Michele Caselle, Elia Cellini, Alessandro Nada, Marco Panero
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski