Mark Law

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 47

Top Venues

CoRR

AAAI

Theory Pract. Log. Program.

IJCAI

Imperial College London, UK (PHD)

Education History

Imperial College London, UK

PHD

Publications

Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo
The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning. CoRR (2024)
Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo
Hierarchies of Reward Machines. ICML (2023)
Mark Law
Conflict-Driven Inductive Logic Programming. Theory Pract. Log. Program. 23 (2) (2023)
Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo
FFNSL: Feed-Forward Neural-Symbolic Learner. Mach. Learn. 112 (2) (2023)
Alice Tarzariol, Martin Gebser, Konstantin Schekotihin, Mark Law
Learning to Break Symmetries for Efficient Optimization in Answer Set Programming. AAAI (2023)
Antonio Ielo, Mark Law, Valeria Fionda, Francesco Ricca, Giuseppe De Giacomo, Alessandra Russo
Towards ILP-Based LTL f Passive Learning. ILP (2023)
Zlatina Mileva, Antonis Bikakis, Fabio Aurelio D'Asaro, Mark Law, Alessandra Russo
A Unifying Framework for Learning Argumentation Semantics. CoRR (2023)
Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo
Neuro-Symbolic Learning of Answer Set Programs from Raw Data. IJCAI (2023)
Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo
Hierarchies of Reward Machines. CoRR (2022)
Mark Law, Théophile Sautory, Ludovico Mitchener, Kari Davies, Matthew Tonkin, Jessica Woodhams, Dalal Alrajeh
Learning to Rank the Distinctiveness of Behaviour in Serial Offending. LPNMR (2022)
Mark Law, Krysia Broda, Alessandra Russo
Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data. IJCAI (2022)
Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo
Inductive Learning of Complex Knowledge from Raw Data. CoRR (2022)
Alice Tarzariol, Konstantin Schekotihin, Martin Gebser, Mark Law
Efficient Lifting of Symmetry Breaking Constraints for Complex Combinatorial Problems. Theory Pract. Log. Program. 22 (4) (2022)
Alice Tarzariol, Martin Gebser, Mark Law, Konstantin Schekotihin
Efficient lifting of symmetry breaking constraints for complex combinatorial problems. CoRR (2022)
Mark Law
Conflict-driven Inductive Logic Programming. CoRR (2021)
Daniel Cunnington, Mark Law, Alessandra Russo, Jorge Lobo
FF-NSL: Feed-Forward Neural-Symbolic Learner. CoRR (2021)
Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo
Inductive Learning of Complex Knowledge from Raw Data. TFSOCTAI@AAAI Fall Symposium (2021)
Daniel Cunnington, Mark Law, Alessandra Russo, Jorge Lobo, Lance M. Kaplan
Towards Neural-Symbolic Learning to support Human-Agent Operations. FUSION (2021)
Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo
Induction and Exploitation of Subgoal Automata for Reinforcement Learning. J. Artif. Intell. Res. 70 (2021)
Mark Law, Alessandra Russo, Krysia Broda, Elisa Bertino
Scalable Non-observational Predicate Learning in ASP. IJCAI (2021)
Arthur Drozdov, Mark Law, Jorge Lobo, Alessandra Russo, Mercion Wilathgamuwage Don
Online Symbolic Learning of Policies for Explainable Security. TPS-ISA (2021)
Mark Law, Alessandra Russo, Krysia Broda
The ILASP system for Inductive Learning of Answer Set Programs. CoRR (2020)
Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo
Induction and Exploitation of Subgoal Automata for Reinforcement Learning. CoRR (2020)
Daniel Cunnington, Alessandra Russo, Mark Law, Jorge Lobo, Lance M. Kaplan
NSL: Hybrid Interpretable Learning From Noisy Raw Data. CoRR (2020)
Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo
FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria. AAAI (2020)
Andrew Cropper, Richard Evans, Mark Law
Inductive general game playing. Mach. Learn. 109 (7) (2020)
Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson
Induction of Subgoal Automata for Reinforcement Learning. AAAI (2020)
Amani Abu Jabal, Elisa Bertino, Jorge Lobo, Mark Law, Alessandra Russo, Seraphin B. Calo, Dinesh C. Verma
Polisma - A Framework for Learning Attribute-Based Access Control Policies. ESORICS (1) (2020)
Graham White, Daniel Cunnington, Mark Law, Elisa Bertino, Geeth de Mel, Alessandra Russo
A Comparison Between Statistical and Symbolic Learning Approaches for Generative Policy Models. ICMLA (2019)
Daniel Cunnington, Mark Law, Alessandra Russo, Elisa Bertino, Seraphin B. Calo
Towards a Neural-Symbolic Generative Policy Model. IEEE BigData (2019)
Andrew Cropper, Richard Evans, Mark Law
Inductive general game playing. CoRR (2019)
Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo
Representing and Learning Grammars in Answer Set Programming. AAAI (2019)
Mark Law, Alessandra Russo, Krysia Broda
Logic-Based Learning of Answer Set Programs. Reasoning Web (2019)
Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson
Induction of Subgoal Automata for Reinforcement Learning. CoRR (2019)
Elisa Bertino, Graham White, Jorge Lobo, John Ingham, Gregory H. Cirincione, Alessandra Russo, Mark Law, Seraphin B. Calo, Irene Manotas, Dinesh C. Verma, Amani Abu Jabal, Daniel Cunnington, Geeth de Mel
Generative Policies for Coalition Systems - A Symbolic Learning Framework. ICDCS (2019)
Daniel Cunnington, Graham White, Mark Law, Geeth de Mel
A Demonstration of Generative Policy Models in Coalition Environments. PAAMS (2019)
Graham White, John Ingham, Mark Law, Alessandra Russo
Using an ASG Based Generative Policy to Model Human Rules. SMARTCOMP (2019)
Daniel Cunnington, Irene Manotas, Mark Law, Geeth de Mel, Seraphin B. Calo, Elisa Bertino, Alessandra Russo
A Generative Policy Model for Connected and Autonomous Vehicles. ITSC (2019)
Mark Law, Alessandra Russo, Krysia Broda
The complexity and generality of learning answer set programs. Artif. Intell. 259 (2018)
Benjamin Wu, Alessandra Russo, Mark Law, Katsumi Inoue
Learning Commonsense Knowledge Through Interactive Dialogue. ICLP (Technical Communications) (2018)
Mark Law, Alessandra Russo, Krysia Broda
Inductive Learning of Answer Set Programs from Noisy Examples. CoRR (2018)
Seraphin B. Calo, Irene Manotas, Geeth de Mel, Daniel Cunnington, Mark Law, Dinesh C. Verma, Alessandra Russo, Elisa Bertino
AGENP: An ASGrammar-based GENerative Policy Framework. PADG@ESORICS (2018)
Piotr Chabierski, Alessandra Russo, Mark Law, Krysia Broda
Machine Comprehension of Text Using Combinatory Categorial Grammar and Answer Set Programs. COMMONSENSE (2017)
Mark Law, Alessandra Russo, Krysia Broda
Iterative Learning of Answer Set Programs from Context Dependent Examples. CoRR (2016)
Mark Law, Alessandra Russo, Krysia Broda
Iterative Learning of Answer Set Programs from Context Dependent Examples. Theory Pract. Log. Program. 16 (5-6) (2016)
Stanislav Dragiev, Alessandra Russo, Krysia Broda, Mark Law, Calin-Rares Turliuc
An Abductive-Inductive Algorithm for Probabilistic Inductive Logic Programming. ILP (Short Papers) (2016)
Gül Çalikli, Mark Law, Arosha K. Bandara, Alessandra Russo, Luke Dickens, Blaine A. Price, Avelie Stuart, Mark Levine, Bashar Nuseibeh
Privacy dynamics: learning privacy norms for social software. SEAMS@ICSE (2016)
Mark Law, Alessandra Russo, Krysia Broda
Learning weak constraints in answer set programming. Theory Pract. Log. Program. 15 (4-5) (2015)
Duangtida Athakravi, Ken Satoh, Mark Law, Krysia Broda, Alessandra Russo
Automated Inference of Rules with Exception from Past Legal Cases Using ASP. LPNMR (2015)
Mark Law, Alessandra Russo, Krysia Broda
Learning Weak Constraints in Answer Set Programming. CoRR (2015)
Mark Law, Alessandra Russo, Krysia Broda
Inductive Learning of Answer Set Programs. JELIA (2014)

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Publication Activity (10 Years)

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Mark Law