collaborators

5 papers

math.AG2026

Algebraic curves admitting automorphism groups of large prime square order

Nazar Arakelian, Diego Kian

Let denote an algebraically closed field of arbitrary characteristic. In this paper we provide bounds for the size of a prime for which there are curves defined…

cs.LG2026

Recursive Entropic Variational Inference for Nonlinear State-Space Models

Hany Abdulsamad, Ángel F. García-Fernández, Simo Särkkä

We present a class of algorithms for state estimation in nonlinear, non-Gaussian state-space models. Our approach is based on a variational Lagrangian formulation that casts Bayesi…

math.ST2026

Wasserstein bounds for non-linear Gaussian filters

Toni Karvonen, Simo Särkkä

Most Kalman filters for non-linear systems, such as the unscented Kalman filter, are based on Gaussian approximations. We use Poincaré inequalities to bound the Wasserstein distan…

stat.ME2026

Estimation of log-Gaussian gamma processes with iterated posterior linearization and Hamiltonian Monte Carlo

Teemu Härkönen, Simo Särkkä

Stochastic processes are a flexible and widely used family of models for statistical modeling. While stochastic processes offer attractive properties such as inclusion of uncertain…

math.OC2025

Posterior linearisation smoothing with robust iterations

Jakob Lindqvist, Simo Särkkä, Ángel F. García-Fernández +2

This paper considers the problem of iterative Bayesian smoothing in nonlinear state-space models with additive noise using Gaussian approximations. Iterative methods are known to i…