Conor Rosato

According to our database, Conor Rosato authored at least 10 papers between 2021 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

Efficient MCMC Sampling with Expensive-to-Compute and Irregular Likelihoods.

Conor Rosato, Harvinder Lehal, Simon Maskell, Lee Devlin, Malcolm Strens

CoRR, May, 2025

2024

Bayesian Calibration to Address the Challenge of Antimicrobial Resistance: A Review.

Conor Rosato, Peter L. Green, John Harris, Simon Maskell, William Hope, Alessandro Gerada, Alex Howard

IEEE Access, 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

Extracting Self-Reported COVID-19 Symptom Tweets and Twitter Movement Mobility Origin/Destination Matrices to Inform Disease Models.

Conor Rosato, Robert E. Moore, Matthew Carter, John Heap, John Harris, Jose Storopoli, Simon Maskell

Inf., 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

2022

Efficient Learning of the Parameters of Non-Linear Models Using Differentiable Resampling in Particle Filters.

Conor Rosato, Lee Devlin, Vincent Béraud, Paul R. Horridge, Thomas B. Schön, Simon Maskell

IEEE Trans. Signal Process., 2022

Inference of Stochastic Disease Transmission Models Using Particle-MCMC and a Gradient Based Proposal.

Conor Rosato, John Harris, Jasmina Panovska-Griffiths, Simon Maskell

Proceedings of the 25th International Conference on Information Fusion, 2022

2021

Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters.

Conor Rosato, Paul R. Horridge, Thomas B. Schön, Simon Maskell

CoRR, 2021