Selected Publications
Journal Articles
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
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
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