Mark Law
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
16
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICSE | Data-Dependent Goal modeling for ML-Enabled Law Enforcement Systems. | Dalal Alrajeh, Vesna Nowack, Patrick Benjamin, Katie Thomas, William Hobson, Carolina Gutierrez Muoz, Catherine Hamilton-Giachritsis, Juliane A. Kloess, Jessica Woodhams, Daniel Butler, Mark Law, Ralph Morton, Benjamin Costello, Amy Burrell, Tim D. Grant, Prachiben Shah, Frances Adriana Laureano de Leon, Mark Lee |
| 2025 | ACL | Learning and Enforcing Context-Sensitive Control for LLMs. | Mohammad Albinhassan, Pranava Madhyastha, Mark Law, Alessandra Russo |
| 2024 | LPNMR | Towards Explainable Weather Forecasting Through FastLAS. | Talissa Dreossi, Agostino Dovier, Andrea Formisano, Mark Law, Agostino Manzato, Alessandra Russo, Matthew Tait |
| 2024 | NeSy | The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning. | Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo |
| 2023 | AAAI | Learning to Break Symmetries for Efficient Optimization in Answer Set Programming. | Alice Tarzariol, Martin Gebser, Konstantin Schekotihin, Mark Law |
| 2023 | ICML | Hierarchies of Reward Machines. | Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo |
| 2023 | IJCAI | Neuro-Symbolic Learning of Answer Set Programs from Raw Data. | Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo |
| 2023 | ILP | Towards ILP-Based LTL f Passive Learning. | Antonio Ielo, Mark Law, Valeria Fionda, Francesco Ricca, Giuseppe De Giacomo, Alessandra Russo |
| 2022 | IJCAI | Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data. | Mark Law, Krysia Broda, Alessandra Russo |
| 2022 | LPNMR | Learning to Rank the Distinctiveness of Behaviour in Serial Offending. | Mark Law, Thophile Sautory, Ludovico Mitchener, Kari Davies, Matthew J. Tonkin, Jessica Woodhams, Dalal Alrajeh |
| 2021 | FUSION | Towards Neural-Symbolic Learning to support Human-Agent Operations. | Daniel Cunnington, Mark Law, Alessandra Russo, Jorge Lobo, Lance M. Kaplan |
| 2021 | IJCAI | Scalable Non-observational Predicate Learning in ASP. | Mark Law, Alessandra Russo, Krysia Broda, Elisa Bertino |
| 2020 | AAAI | Induction of Subgoal Automata for Reinforcement Learning. | Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson |
| 2020 | AAAI | FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria. | Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo |
| 2020 | ESORICS | Polisma - A Framework for Learning Attribute-Based Access Control Policies. | Amani Abu Jabal, Elisa Bertino, Jorge Lobo, Mark Law, Alessandra Russo, Seraphin B. Calo, Dinesh C. Verma |
| 2019 | AAAI | Representing and Learning Grammars in Answer Set Programming. | Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo |
| 2019 | ICDCS | Generative Policies for Coalition Systems - A Symbolic Learning Framework. | 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 |
| 2019 | ICMLA | A Comparison Between Statistical and Symbolic Learning Approaches for Generative Policy Models. | Graham White, Daniel Cunnington, Mark Law, Elisa Bertino, Geeth de Mel, Alessandra Russo |
| 2019 | PAAMS | A Demonstration of Generative Policy Models in Coalition Environments. | Daniel Cunnington, Graham White, Mark Law, Geeth de Mel |
| 2019 | SmartComp | Using an ASG Based Generative Policy to Model Human Rules. | Graham White, John Ingham, Mark Law, Alessandra Russo |
| 2018 | ESORICS | AGENP: An ASGrammar-based GENerative Policy Framework. | Seraphin B. Calo, Irene Manotas, Geeth de Mel, Daniel Cunnington, Mark Law, Dinesh C. Verma, Alessandra Russo, Elisa Bertino |
| 2018 | ICLP | Learning Commonsense Knowledge Through Interactive Dialogue. | Benjamin Wu, Alessandra Russo, Mark Law, Katsumi Inoue |
| 2016 | ILP | An Abductive-Inductive Algorithm for Probabilistic Inductive Logic Programming. | Stanislav Dragiev, Alessandra Russo, Krysia Broda, Mark Law, Calin-Rares Turliuc |
| 2016 | ICSE | Privacy dynamics: learning privacy norms for social software. | Gl alikli, Mark Law, Arosha K. Bandara, Alessandra Russo, Luke Dickens, Blaine A. Price, Avelie Stuart, Mark Levine, Bashar Nuseibeh |
| 2015 | LPNMR | Automated Inference of Rules with Exception from Past Legal Cases Using ASP. | Duangtida Athakravi, Ken Satoh, Mark Law, Krysia Broda, Alessandra Russo |
| 2014 | JELIA | Inductive Learning of Answer Set Programs. | Mark Law, Alessandra Russo, Krysia Broda |