Oskar Kviman
DOKTORAND
Kungliga Tekniska Högskolanhttps://www.kth.se/profile/okviman/
Om mig
I am a PhD student working in the Lagergren Lab. My research interests are in Bayesian phylogenetics and probabilistic machine learning in general. From a machine learning perspective, my recent and current works involve, e.g., variational inference, variational auto-encoders, importance sampling, sequential Monte Carlo methods and Monte Carlo objective functions. In phylogenetics, I research variational inference-based phylogenetics, tree sampling methods and joint inference of gene and species trees.
Articles
- Learning with MISELBO: The Mixture Cookbook, arxiv 2022
- VaiPhy: a Variational Inference Based Algorithm for Phylogeny, NeurIPS 2022
- Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations, AISTATS 2o22
Teaching
Kurser
Maskininlärning, avancerad kurs (DD2434), assistent | Kurswebb
Statistiska metoder i datalogi (FDD3447), lärare | Kurswebb
Statistiska metoder i datalogin (DD2447), assistent | Kurswebb