Selected Publications
Journal Articles
Cunnington D, Law M, Lobo J, et al., 2023, FFNSL: feed-forward neural-symbolic learner, Machine Learning, Vol:112, ISSN:0885-6125, Pages:515-569
Mitchener L, Tuckey D, Crosby M, et al., 2022, Detect, understand, act: a neuro-symbolic hierarchical reinforcement learning framework, Machine Learning, Vol:111, ISSN:0885-6125, Pages:1523-1549
Law M, Russo A, Broda K, 2019, Inductive Learning of Answer Set Programs from Noisy Examples, Advances in Cognitive Systems
Conference
Furelos-Blanco D, Law M, Jonsson A, et al., Hierarchies of reward machines, International Conference on Machine Learning, PMLR, ISSN:2640-3498
Cunnington D, Law M, Lobo J, et al., 2023, Neuro-symbolic learning of answer set programs from raw data, IJCAI 2023, International Joint Conferences on Artificial Intelligence, Pages:3586-3596, ISSN:1045-0823
Russo A, Dickens L, Stromfelt H, et al., Formalizing Coherence and Consistency Applied to Transfer Learning in Neuro-Symbolic Autoencoders, Thirty-sixth Conference on Neural Information Processing Systems
Aspis Y, Broda K, Lobo J, et al., 2022, Embed2Sym - scalable neuro-symbolic reasoning via clustered embeddings, The 19th International Conference on Principles of Knowledge Representation and Reasoning, K Proceedings, Pages:421-431
Law M, Broda K, Russo A, 2022, Search space expansion for efficient incremental inductive logic programming from streamed data, THE 31ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, Pages:2697-2704, ISSN:1045-0823
Mitchener L, Tuckey D, Crosby M, et al., 2022, Detect, understand, act: a neuro-symbolic hierarchical reinforcement learning framework (extended abstract), THE 31ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI, Pages:5314-5318, ISSN:1045-0823
Tuckey D, Broda K, Russo A, 2022, A semantics for probabilistic answer set programs with incomplete stochastic knowledge, CEUR Workshop, CEUR Workshop Proceedings, Pages:1-14, ISSN:1613-0073
Russo A, Law M, Cunnington D, et al., 2022, Logic-Based Machine Learning: Recent Advances and Their Role in Neuro-Symbolic AI, 16th International Conference on Logic Programming and Non-Monotonic Reasoning (LPNMR), SPRINGER INTERNATIONAL PUBLISHING AG, Pages:XVIII-XXI, ISSN:0302-9743
Law M, Russo A, Broda K, et al., 2021, Scalable non-observational predicate learning in ASP, IJCAI, IJCAI, Pages:1936-1943, ISSN:1045-0823
Cunnington D, Law M, Russo A, et al., 2021, Towards Neural-Symbolic Learning to support Human-Agent Operations, 24th IEEE International Conference on Information Fusion (FUSION), IEEE, Pages:223-230