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Publication search results
found 142 matches
- 2024
- Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry:
Typicality-based point OOD detection with contrastive learning. NLDL 2024: 120-129 - Zachary R. Madin, Jonathan Lawry, Edmund R. Hunt:
Collective Anomaly Perception During Multi-Robot Patrol: Constrained Interactions Can Promote Accurate Consensus. SAC 2024: 630-637 - 2023
- Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry:
Two-step counterfactual generation for OOD examples. CoRR abs/2302.05196 (2023) - Tom Bewley, Jonathan Lawry, Arthur Richards:
Learning Interpretable Models of Aircraft Handling Behaviour by Reinforcement Learning from Human Feedback. CoRR abs/2305.16924 (2023) - Michael Crosscombe, Jonathan Lawry:
The Benefits of Interaction Constraints in Distributed Autonomous Systems. CoRR abs/2306.01179 (2023) - Zachary R. Madin, Jonathan Lawry, Edmund R. Hunt:
Collective Anomaly Perception During Multi-Robot Patrol: Constrained Interactions Can Promote Accurate Consensus. CoRR abs/2312.12639 (2023) - 2022
- Michael Crosscombe, Jonathan Lawry:
The Benefits of Interaction Constraints in Distributed Autonomous Systems. DARS 2022: 14-27 - Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry:
Understanding the Properties and Limitations of Contrastive Learning for Out-of-Distribution Detection. ICPR Workshops (1) 2022: 330-343 - Tom Bewley, Jonathan Lawry, Arthur Richards:
Summarising and Comparing Agent Dynamics with Contrastive Spatiotemporal Abstraction. CoRR abs/2201.07749 (2022) - Tom Bewley, Jonathan Lawry, Arthur Richards, Rachel Craddock, Ian Henderson:
Reward Learning with Trees: Methods and Evaluation. CoRR abs/2210.01007 (2022) - Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry:
Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection. CoRR abs/2211.03183 (2022) - 2021
- Alice Haynes, Jonathan Lawry, Christopher Kent, Jonathan Rossiter:
FeelMusic: Enriching Our Emotive Experience of Music through Audio-Tactile Mappings. Multimodal Technol. Interact. 5(6): 29 (2021) - Michael Crosscombe, Jonathan Lawry:
Collective preference learning in the best-of-n problem. Swarm Intell. 15(1-2): 145-170 (2021) - Chanelle Lee, Jonathan Lawry, Alan F. T. Winfield:
Negative updating applied to the best-of-n problem with noisy qualities. Swarm Intell. 15(1-2): 111-143 (2021) - Tom Bewley, Jonathan Lawry:
TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments. AAAI 2021: 11415-11422 - Michael Crosscombe, Jonathan Lawry:
The Impact of Network Connectivity on Collective Learning. DARS 2021: 82-94 - Zixuan Liu, Michael Crosscombe, Jonathan Lawry:
Imprecise Fusion Operators for Collective Learning. ALIFE 2021: 77 - Chris Bennett, Seth Bullock, Jonathan Lawry:
Demonstrating the Differential Impact of Flock Heterogeneity on Multi-agent Herding. TAROS 2021: 147-157 - Michael Crosscombe, Jonathan Lawry:
The Impact of Network Connectivity on Collective Learning. CoRR abs/2106.00655 (2021) - 2020
- Jonathan Lawry, Chanelle Lee:
Probability pooling for dependent agents in collective learning. Artif. Intell. 288: 103371 (2020) - Nouf Bindris, Nello Cristianini, Jonathan Lawry:
Claim Consistency Checking Using Soft Logic. Mach. Learn. Knowl. Extr. 2(3): 147-171 (2020) - Tom Bewley, Jonathan Lawry, Arthur Richards:
Modelling Agent Policies with Interpretable Imitation Learning. TAILOR 2020: 180-186 - Jonathan Lawry, Michael Crosscombe, David Harvey:
Distributed Possibilistic Learning in Multi-Agent Systems. CoRR abs/2001.07145 (2020) - Tom Bewley, Jonathan Lawry, Arthur Richards:
Modelling Agent Policies with Interpretable Imitation Learning. CoRR abs/2006.11309 (2020) - Tom Bewley, Jonathan Lawry:
TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments. CoRR abs/2009.04743 (2020) - 2019
- Michael Crosscombe, Jonathan Lawry:
Evidence Propagation and Consensus Formation in Noisy Environments. AAMAS 2019: 1904-1906 - Jonathan Lawry, Michael Crosscombe, David Harvey:
Epistemic Sets Applied to Best-of-n Problems. ECSQARU 2019: 301-312 - Jonathan Lawry, Van-Nam Huynh, Chris A. McMahon:
Three Valued Representation of Opinions in Affective Design. IUKM 2019: 109-121 - Michael Crosscombe, Jonathan Lawry, Palina Bartashevich:
Evidence Propagation and Consensus Formation in Noisy Environments. SUM 2019: 310-323 - Michael Crosscombe, Jonathan Lawry:
Evidence Propagation and Consensus Formation in Noisy Environments. CoRR abs/1905.04840 (2019)
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