Joshua Murphy

According to our database, Joshua Murphy authored at least 10 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Hess-MC2: Sequential Monte Carlo Squared using Hessian Information and Second Order Proposals.

Joshua Murphy, Conor Rosato, Andrew Millard, Lee Devlin, Paul R. Horridge, Simon Maskell

CoRR, July, 2025

Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles.

Andrew Millard, Zheng Zhao, Joshua Murphy, Simon Maskell

CoRR, May, 2025

Utilising Gradient-Based Proposals Within Sequential Monte Carlo Samplers for Training of Partial Bayesian Neural Networks.

Andrew Millard, Joshua Murphy, Simon Maskell, Zheng Zhao

CoRR, May, 2025

Incorporating the ChEES Criterion into Sequential Monte Carlo Samplers.

Andrew Millard, Joshua Murphy, Daniel Frisch, Simon Maskell

CoRR, April, 2025

Recent User Interface and Experience Development in Virtual Reality: A Literature Study.

Joshua Murphy, Abdelwahab Hamam

Proceedings of the Virtual, Augmented and Mixed Reality, 2025

2024

Enhanced SMC²: Leveraging Gradient Information from Differentiable Particle Filters Within Langevin Proposals.

Conor Rosato, Joshua Murphy, Alessandro Varsi, Paul R. Horridge, Simon Maskell

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2024

Parameterizing Hierarchical Particle Filters with Concept Drift for Time-varying Parameter Estimation.

Joshua Murphy, Conor Rosato, Andrew Millard, Simon Maskell

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2024

2023

Detecting Facial Landmarks on 3D Models Based on Geometric Properties - A Review of Algorithms, Enhancements, Additions and Open-Source Implementations.

Oguzhan Topsakal, Tahir Cetin Akinci, Joshua Murphy, Taylor Lee-James Preston, Mehmet Mazhar Çelikoyar

IEEE Access, 2023

An O(log2 N) SMC² Algorithm on Distributed Memory with an Approx. Optimal L-Kernel.

Conor Rosato, Alessandro Varsi, Joshua Murphy, Simon Maskell

Proceedings of the 2023 IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI), 2023

2018

Small Group Learning Activities in Systems and Control Theory using Fidget Cars.

Laura E. Ray, David Hodgson, David Feinauer, Raina White, Annett Gawerc, Prudence Merton, Devin Montgomery, Blair Allison, Nathan Amanquah, Charles Jackson, Fred McBagonluri, Paul Shiue, Eric Welch, Kevin Huang, Carlos Luck, Jonathan West, Vanessa Svihla, Joshua Murphy, Daniel Ray

Proceedings of the 2018 Annual American Control Conference, 2018