4 citations · 11 across the 5 of their papers we have counts for
3 papers · 1 filter
Improved Variational Bayesian Phylogenetic Inference using Mixtures
Oskar Kviman, Ricky Molén, Jens Lagergren
We present VBPI-Mixtures, an algorithm designed to enhance the accuracy of phylogenetic posterior distributions, particularly for tree-topology and branch-length approximations. De…
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders
Oskar Kviman, Ricky Molén, Alexandra Hotti +3
In this paper, we show how the mixture components cooperate when they jointly adapt to maximize the ELBO. We build upon recent advances in the multiple and adaptive importance samp…
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations
Oskar Kviman, Harald Melin, Hazal Koptagel +2
In variational inference (VI), the marginal log-likelihood is estimated using the standard evidence lower bound (ELBO), or improved versions as the importance weighted ELBO (IWELBO…