Publications
2024
Enhanced SMC<sup>2</sup>: Leveraging Gradient Information from Differentiable Particle Filters Within Langevin Proposals
Rosato, C., Murphy, J., Varsi, A., Horridge, P., & Maskell, S. (2024). Enhanced SMC<sup>2</sup>: Leveraging Gradient Information from Differentiable Particle Filters Within Langevin Proposals. In 2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) (pp. 1-8). IEEE. doi:10.1109/mfi62651.2024.10705779
Enhanced SMC$^2$: Leveraging Gradient Information from Differentiable Particle Filters Within Langevin Proposals
A General-Purpose Fixed-Lag No-U-Turn Sampler for Nonlinear Non-Gaussian State Space Models
Varsi, A., Devlin, L., Horridge, P., & Maskell, S. (2024). A General-Purpose Fixed-Lag No-U-Turn Sampler for Nonlinear Non-Gaussian State Space Models. IEEE Transactions on Aerospace and Electronic Systems, 1-16. doi:10.1109/taes.2024.3374720
2023
An O(log<sub>2</sub> N) SMC<sup>2</sup> Algorithm on Distributed Memory with an Approx. Optimal L-Kernel
Rosato, C., Varsi, A., Murphy, J., & Maskell, S. (2023). An O(log<sub>2</sub> N) SMC<sup>2</sup> Algorithm on Distributed Memory with an Approx. Optimal L-Kernel. In 2023 IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI) (pp. 1-8). IEEE. doi:10.1109/sdf-mfi59545.2023.10361452
A Shared Memory SMC Sampler for Decision Trees
Drousiotis, E., Varsi, A., Spirakis, P. G., & Maskell, S. (2023). A Shared Memory SMC Sampler for Decision Trees. In 2023 IEEE 35th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD) (pp. 209-218). IEEE. doi:10.1109/sbac-pad59825.2023.00030
2022
A multi-fidelity machine learning approach to high throughput materials screening
Fare, C., Fenner, P., Benatan, M., Varsi, A., & Pyzer-Knapp, E. O. O. (2022). A multi-fidelity machine learning approach to high throughput materials screening. NPJ COMPUTATIONAL MATERIALS, 8(1). doi:10.1038/s41524-022-00947-9
2021
An O(log2N) Fully-Balanced Resampling Algorithm for Particle Filters on Distributed Memory Architectures
Varsi, A., Maskell, S., & Spirakis, P. G. (n.d.). An O(log2N) Fully-Balanced Resampling Algorithm for Particle Filters on Distributed Memory Architectures. Algorithms, 14(12), 342. doi:10.3390/a14120342
Streaming Multi-core Sample-based Bayesian Analysis
Varsi, A. (2021, June 23). Streaming Multi-core Sample-based Bayesian Analysis.
2020
A Fast Parallel Particle Filter for Shared Memory Systems
Varsi, A., Taylor, J., Kekempanos, L., Pyzer Knapp, E., & Maskell, S. (2020). A Fast Parallel Particle Filter for Shared Memory Systems. IEEE Signal Processing Letters, 27, 1570-1574. doi:10.1109/LSP.2020.3014035
2019
A Single SMC Sampler on MPI that Outperforms a Single MCMC Sampler
Varsi, A., Kekempanos, L., Thiyagalingam, J., & Maskell, S. (2019). A Single SMC Sampler on MPI that Outperforms a Single MCMC Sampler. Retrieved from http://arxiv.org/abs/1905.10252v1
A Single SMC Sampler on MPI that Outperforms a Single MCMC Sampler
2017
Parallelising Particle Filters with Deterministic Runtime on Distributed Memory Systems
Varsi, A., Kekempanos, L., Thiyagalingam, J., & Maskell, S. (2017). Parallelising Particle Filters with Deterministic Runtime on Distributed Memory Systems. In IET 3rd International Conference on Intelligent Signal Processing (ISP 2017) (pp. 11 (10 .)). Institution of Engineering and Technology. doi:10.1049/cp.2017.0357