19 citations · 20 across the 5 of their papers we have counts for
5 papers
The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS)
Andrew Ferguson, Marisa LaFleur, Lars Ruthotto +97
This community paper developed out of the NSF Workshop on the Future of Artificial Intelligence (AI) and the Mathematical and Physics Sciences (MPS), which was held in March 2025 w…
Stability and Convergence of Stochastic Particle Flow Filters
Liyi Dai, Fred Daum
In this paper, we examine dynamic properties of particle flows for a recently derived parameterized family of stochastic particle flow filters for nonlinear filtering and Bayesian…
Stiffness Mitigation in Stochastic Particle Flow Filters
Liyi Dai, Frederick E. Daum
The linear convex log-homotopy has been used in the derivation of particle flow filters. One natural question is whether it is beneficial to consider other forms of homotopy. We re…
Stochastic Particle Flow for Nonlinear High-Dimensional Filtering Problems
Flávio Eler De Melo, Simon Maskell, Matteo Fasiolo +1
A series of novel filters for probabilistic inference that propose an alternative way of performing Bayesian updates, called particle flow filters, have been attracting recent inte…
Fractional nonlinear filtering problems and their associated fractional Zakai equations
Sabir Umarov, Frederick Daum, Kenric Nelson
In this paper we discuss fractional generalizations of the filtering problem. The "fractional" nature comes from time-changed state or observation processes, basic ingredients of t…