Oskar Kviman

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Ph.D. student working in the Lagergren Lab at KTH, Stockholm.
email: okviman@kth.se or okviman@gmail.com

Research interests

Generative AI: flow matching, Schrödinger bridges, diffusion models, variational autoencoders, normalizing flows;

Computational cancer: differential expression testing, spatial transcriptomics, scRNA-seq, phylogenetics;

Statistical inference: variational inference, sequential Monte Carlo, MCMC, statistical testing;

Conference Publications/Preprints

Journal Publications

Theses

Reviewing Teaching at KTH Master Thesis Supervision
ICLR 2025 Statistical Methods in Applied Computer Science (Lecturer; 2021-) Xindi Liu (KTH; 2022)
AAAI 2025 Machine Learning, Advanced Course (TA; 2020-2022) Ricky Molén (KTH; 2022)
Advances in approximate Bayesian inference 2023 Deep Learning, Advanced Course (TA; 2021-2022)  
NeurIPS 2023    
AISTATS 2023: rewarded Top reviewer (10%; link)    
NeurIPS 2022    
ICML 2022    
AISTATS 2022    
ICML 2021