Conor Rosato

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 6

Top Topics

Markov Chain Monte Carlo

Dynamical Models

Gradient Information

Particle Filter

Top Venues

IEEE Trans. Signal Process.

Publications

Conor Rosato, Joshua Murphy, Alessandro Varsi, Paul R. Horridge, Simon Maskell
: Leveraging Gradient Information from Differentiable Particle Filters Within Langevin Proposals. CoRR (2024)
Conor Rosato, Peter L. Green, John Harris, Simon Maskell, William Hope, Alessandro Gerada, Alex Howard
Bayesian Calibration to Address the Challenge of Antimicrobial Resistance: A Review. IEEE Access 12 (2024)
Conor Rosato, Robert E. Moore, Matthew Carter, John Heap, John Harris, Jose Storopoli, Simon Maskell
Extracting Self-Reported COVID-19 Symptom Tweets and Twitter Movement Mobility Origin/Destination Matrices to Inform Disease Models. Inf. 14 (3) (2023)
Conor Rosato, Lee Devlin, Vincent Béraud, Paul R. Horridge, Thomas B. Schön, Simon Maskell
Efficient Learning of the Parameters of Non-Linear Models Using Differentiable Resampling in Particle Filters. IEEE Trans. Signal Process. 70 (2022)
Conor Rosato, John Harris, Jasmina Panovska-Griffiths, Simon Maskell
Inference of Stochastic Disease Transmission Models Using Particle-MCMC and a Gradient Based Proposal. FUSION (2022)
Conor Rosato, Paul R. Horridge, Thomas B. Schön, Simon Maskell
Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters. CoRR (2021)