Scaling Up Machine Learning For Quantum Field Theory with Equivariant Continuous Flows. - Pim de Haan; Corrado Rainone; Miranda C. N. Cheng; Roberto Bondesan (CoRR, 2021)

Neural Topological Ordering for Computation Graphs. - Mukul Gagrani; Corrado Rainone; Yang Yang; Harris Teague; Wonseok Jeon; Roberto Bondesan; Herke van Hoof; Christopher Lott; Weiliang Will Zeng; Piero Zappi (NeurIPS, 2022)

Learning Lattice Quantum Field Theories with Equivariant Continuous Flows. - Mathis Gerdes; Pim de Haan; Corrado Rainone; Roberto Bondesan; Miranda C. N. Cheng (CoRR, 2022)

Robust Scheduling with GFlowNets. - David W. Zhang; Corrado Rainone; Markus Peschl; Roberto Bondesan (ICLR, 2023)

CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay. - Natasha Butt; Blazej Manczak; Auke J. Wiggers; Corrado Rainone; David W. Zhang; Michaël Defferrard; Taco Cohen (ICML, 2024)

Replacing thinking with tool usage enables reasoning in small language models. - Corrado Rainone; Tim Bakker; Roland Memisevic (CoRR, 2025)