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Mark Law
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2020 – today
- 2024
- [i15]Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo:
The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning. CoRR abs/2402.01889 (2024) - 2023
- [j8]Daniel Cunnington
, Mark Law, Jorge Lobo, Alessandra Russo:
FFNSL: Feed-Forward Neural-Symbolic Learner. Mach. Learn. 112(2): 515-569 (2023) - [j7]Mark Law
:
Conflict-Driven Inductive Logic Programming. Theory Pract. Log. Program. 23(2): 387-414 (2023) - [c28]Alice Tarzariol
, Martin Gebser, Konstantin Schekotihin, Mark Law:
Learning to Break Symmetries for Efficient Optimization in Answer Set Programming. AAAI 2023: 6541-6549 - [c27]Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo:
Hierarchies of Reward Machines. ICML 2023: 10494-10541 - [c26]Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo:
Neuro-Symbolic Learning of Answer Set Programs from Raw Data. IJCAI 2023: 3586-3596 - [c25]Antonio Ielo
, Mark Law
, Valeria Fionda
, Francesco Ricca
, Giuseppe De Giacomo
, Alessandra Russo
:
Towards ILP-Based LTL f Passive Learning. ILP 2023: 30-45 - [i14]Zlatina Mileva, Antonis Bikakis, Fabio Aurelio D'Asaro, Mark Law, Alessandra Russo:
A Unifying Framework for Learning Argumentation Semantics. CoRR abs/2310.12309 (2023) - 2022
- [j6]Alice Tarzariol
, Konstantin Schekotihin
, Martin Gebser, Mark Law:
Efficient Lifting of Symmetry Breaking Constraints for Complex Combinatorial Problems. Theory Pract. Log. Program. 22(4): 606-622 (2022) - [c24]Mark Law, Krysia Broda, Alessandra Russo:
Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data. IJCAI 2022: 2697-2704 - [c23]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: 484-497 - [i13]Alice Tarzariol, Martin Gebser, Mark Law, Konstantin Schekotihin
:
Efficient lifting of symmetry breaking constraints for complex combinatorial problems. CoRR abs/2205.07129 (2022) - [i12]Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo:
Inductive Learning of Complex Knowledge from Raw Data. CoRR abs/2205.12735 (2022) - [i11]Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo:
Hierarchies of Reward Machines. CoRR abs/2205.15752 (2022) - 2021
- [j5]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: 1031-1116 (2021) - [c22]Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo:
Inductive Learning of Complex Knowledge from Raw Data. TFSOCTAI@AAAI Fall Symposium 2021 - [c21]Daniel Cunnington, Mark Law, Alessandra Russo, Jorge Lobo, Lance M. Kaplan:
Towards Neural-Symbolic Learning to support Human-Agent Operations. FUSION 2021: 1-8 - [c20]Mark Law, Alessandra Russo, Krysia Broda, Elisa Bertino:
Scalable Non-observational Predicate Learning in ASP. IJCAI 2021: 1936-1943 - [c19]Arthur Drozdov, Mark Law, Jorge Lobo, Alessandra Russo, Mercion Wilathgamuwage Don:
Online Symbolic Learning of Policies for Explainable Security. TPS-ISA 2021: 269-278 - [i10]Mark Law:
Conflict-driven Inductive Logic Programming. CoRR abs/2101.00058 (2021) - [i9]Daniel Cunnington, Mark Law, Alessandra Russo, Jorge Lobo:
FF-NSL: Feed-Forward Neural-Symbolic Learner. CoRR abs/2106.13103 (2021) - 2020
- [j4]Andrew Cropper
, Richard Evans, Mark Law:
Inductive general game playing. Mach. Learn. 109(7): 1393-1434 (2020) - [c18]Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo:
FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria. AAAI 2020: 2877-2885 - [c17]Daniel Furelos-Blanco
, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson:
Induction of Subgoal Automata for Reinforcement Learning. AAAI 2020: 3890-3897 - [c16]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: 523-544 - [i8]Mark Law, Alessandra Russo, Krysia Broda:
The ILASP system for Inductive Learning of Answer Set Programs. CoRR abs/2005.00904 (2020) - [i7]Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo:
Induction and Exploitation of Subgoal Automata for Reinforcement Learning. CoRR abs/2009.03855 (2020) - [i6]Daniel Cunnington, Alessandra Russo, Mark Law, Jorge Lobo, Lance M. Kaplan:
NSL: Hybrid Interpretable Learning From Noisy Raw Data. CoRR abs/2012.05023 (2020)
2010 – 2019
- 2019
- [c15]Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo:
Representing and Learning Grammars in Answer Set Programming. AAAI 2019: 2919-2928 - [c14]Daniel Cunnington, Mark Law, Alessandra Russo
, Elisa Bertino, Seraphin B. Calo:
Towards a Neural-Symbolic Generative Policy Model. IEEE BigData 2019: 4008-4016 - [c13]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: 1590-1600 - [c12]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: 1314-1321 - [c11]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: 1558-1565 - [c10]Daniel Cunnington, Graham White, Mark Law, Geeth de Mel:
A Demonstration of Generative Policy Models in Coalition Environments. PAAMS 2019: 242-245 - [c9]Mark Law, Alessandra Russo
, Krysia Broda:
Logic-Based Learning of Answer Set Programs. RW 2019: 196-231 - [c8]Graham White, John Ingham, Mark Law, Alessandra Russo
:
Using an ASG Based Generative Policy to Model Human Rules. SMARTCOMP 2019: 99-103 - [i5]Andrew Cropper, Richard Evans, Mark Law:
Inductive general game playing. CoRR abs/1906.09627 (2019) - [i4]Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson:
Induction of Subgoal Automata for Reinforcement Learning. CoRR abs/1911.13152 (2019) - 2018
- [b1]Mark Law:
Inductive learning of answer set programs. Imperial College London, UK, 2018 - [j3]Mark Law, Alessandra Russo
, Krysia Broda:
The complexity and generality of learning answer set programs. Artif. Intell. 259: 110-146 (2018) - [c7]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: 3-20 - [c6]Benjamin Wu, Alessandra Russo
, Mark Law, Katsumi Inoue
:
Learning Commonsense Knowledge Through Interactive Dialogue. ICLP (Technical Communications) 2018: 12:1-12:19 - [i3]Mark Law, Alessandra Russo, Krysia Broda:
Inductive Learning of Answer Set Programs from Noisy Examples. CoRR abs/1808.08441 (2018) - 2017
- [c5]Piotr Chabierski, Alessandra Russo, Mark Law, Krysia Broda:
Machine Comprehension of Text Using Combinatory Categorial Grammar and Answer Set Programs. COMMONSENSE 2017 - 2016
- [j2]Mark Law
, Alessandra Russo
, Krysia Broda:
Iterative Learning of Answer Set Programs from Context Dependent Examples. Theory Pract. Log. Program. 16(5-6): 834-848 (2016) - [c4]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: 47-56 - [c3]Stanislav Dragiev, Alessandra Russo, Krysia Broda, Mark Law, Calin-Rares Turliuc:
An Abductive-Inductive Algorithm for Probabilistic Inductive Logic Programming. ILP (Short Papers) 2016: 20-26 - [i2]Mark Law, Alessandra Russo, Krysia Broda:
Iterative Learning of Answer Set Programs from Context Dependent Examples. CoRR abs/1608.01946 (2016) - 2015
- [j1]Mark Law
, Alessandra Russo
, Krysia Broda:
Learning weak constraints in answer set programming. Theory Pract. Log. Program. 15(4-5): 511-525 (2015) - [c2]Duangtida Athakravi, Ken Satoh, Mark Law, Krysia Broda, Alessandra Russo
:
Automated Inference of Rules with Exception from Past Legal Cases Using ASP. LPNMR 2015: 83-96 - [i1]Mark Law, Alessandra Russo, Krysia Broda:
Learning Weak Constraints in Answer Set Programming. CoRR abs/1507.06566 (2015) - 2014
- [c1]Mark Law
, Alessandra Russo
, Krysia Broda:
Inductive Learning of Answer Set Programs. JELIA 2014: 311-325
Coauthor Index
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last updated on 2024-08-05 20:25 CEST by the dblp team
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