20 citations · 20 across the 6 of their papers we have counts for
4 papers · 1 filter
Score-Based Martingale Posteriors for Deep Neural Networks
Abylay Zhumekenov, Ajay Jasra, Mohamed Maama +1
In this paper we investigate the efficacy of the score-based martingale posteriors (SMP) (Cui & Walker, 2025; Fong et al., 2023) in the context of modern and large-scale machine le…
Particle Filtering for a Class of State-Space Models with Low and Degenerate Observational Noise
Abylay Zhumekenov, Alexandros Beskos, Dan Crisan +2
We consider the discrete-time filtering problem in scenarios where the observation noise is low or degenerate. We focus on the case where the observation equation is a linear funct…
Sequential Markov Chain Monte Carlo for Filtering of State-Space Models with Low or Degenerate Observation Noise
Abylay Zhumekenov, Alexandros Beskos, Dan Crisan +2
We consider the discrete-time filtering problem in scenarios where the observation noise is degenerate or low. More precisely, one is given access to a discrete time observation se…
Parallel Selected Inversion for Space-Time Gaussian Markov Random Fields
Abylay Zhumekenov, Elias T. Krainski, Håvard Rue
Performing Bayesian inference on large spatio-temporal models requires extracting inverse elements of large sparse precision matrices for marginal variances, as well as estimating…