Publications

Neural DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable Policies

Published in 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2025), 2025

Neural DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable Policies

Recommended citation: Kexin Gu Baugh, Luke Dickens, and Alessandra Russo. 2025. Neural DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable Policies. In Proc. of the 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2025), Detroit, Michigan, USA, May 19 – 23, 2025, IFAAMAS. https://plibin.github.io/aamas-25-proceedings/pdfs/p252.pdf

Neuro-symbolic Rule Learning in Real-world Classification Tasks

Published in AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023), 2023

Neuro-symbolic rule learning with neural DNF-based models in real-world multi-class and multi-label classification tasks.

Recommended citation: K. G. Baugh, N. Cingillioglu, and A. Russo, “Neuro-symbolic Rule Learning in Real-world Classification Tasks,” in Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023), A. Martin, H.-G. Fill, A. Gerber, K. Hinkelmann, D. Lenat, R. Stolle, and F. van Harmelen, Eds., CEUR Workshop Proceedings, 2023. https://ceur-ws.org/Vol-3433/paper12.pdf