1 citations · 2 across the 3 of their papers we have counts for
3 papers
math.PR2025
A weak convergence approach to large deviations for stochastic approximations
Henrik Hult, Adam Lindhe, Pierre Nyquist +1
The theory of stochastic approximations form the theoretical foundation for studying convergence properties of many popular recursive learning algorithms in statistics, machine lea…
cs.LG2021★ 1 cited
Variational Auto Encoder Gradient Clustering
Adam Lindhe, Carl Ringqvist, Henrik Hult
Clustering using deep neural network models have been extensively studied in recent years. Among the most popular frameworks are the VAE and GAN frameworks, which learns latent fea…
stat.ML2021★ 1 cited
Particle Filter Bridge Interpolation
Adam Lindhe, Carl Ringqvist, Henrik Hult
Auto encoding models have been extensively studied in recent years. They provide an efficient framework for sample generation, as well as for analysing feature learning. Furthermor…