Imperial College London

ProfessorAlessandraRusso

Faculty of EngineeringDepartment of Computing

Professor in Applied Computational Logic
 
 
 
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Contact

 

+44 (0)20 7594 8312a.russo Website

 
 
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Location

 

560Huxley BuildingSouth Kensington Campus

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Summary

 

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

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

Aspis Y, Broda K, Lobo J, et al., 2022, Embed2Sym - Scalable Neuro-Symbolic Reasoning via Clustered Embeddings, Pages:421-431

Tuckey D, Broda K, Russo A, 2022, A Semantics For Probabilistic Answer Set Programs With Incomplete Stochastic Knowledge, ISSN:1613-0073

Law M, Broda K, Russo A, 2022, Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data, Pages:2697-2704, ISSN:1045-0823

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

More Publications