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Oskar Kviman
Oskar Kviman
Ph.D. student Machine Learning, KTH
Verified email at kth.se
Title
Cited by
Cited by
Year
Multiple importance sampling elbo and deep ensembles of variational approximations
O Kviman, H Melin, H Koptagel, V Elvira, J Lagergren
International Conference on Artificial Intelligence and Statistics, 10687-10702, 2022
112022
VaiPhy: a Variational Inference Based Algorithm for Phylogeny
H Koptagel, O Kviman, H Melin, N Safinianaini, J Lagergren
Advances in Neural Information Processing Systems 35, 14758-14770, 2022
72022
Cooperation in the latent space: The benefits of adding mixture components in variational autoencoders
O Kviman, R MolÚn, A Hotti, S Kurt, V Elvira, J Lagergren
International Conference on Machine Learning, 18008-18022, 2023
12023
Sequence Disambiguation with Synaptic Traces in Associative Neural Networks
RH Martinez, O Kviman, A Lansner, P Herman
Artificial Neural Networks and Machine Learning–ICANN 2019: Theoreticalá…, 2019
12019
Improved Variational Bayesian Phylogenetic Inference using Mixtures
O Kviman, R MolÚn, J Lagergren
arXiv preprint arXiv:2310.00941, 2023
2023
Statistical Distance Based Deterministic Offspring Selection in SMC Methods
O Kviman, H Koptagel, H Melin, J Lagergren
arXiv preprint arXiv:2212.12290, 2022
2022
Learning with MISELBO: The Mixture Cookbook
O Kviman, R MolÚn, A Hotti, S Kurt, V Elvira, J Lagergren
arXiv preprint arXiv:2209.15514, 2022
2022
KL/TV Reshuffling: Statistical Distance Based Offspring Selection in SMC Methods
O Kviman
2022
[Re] Tensor Monte Carlo: Particle Methods for the GPU Era
O Kviman, L Nilsson, M Larsson
2019
Applicability of a Translucent Barrier Based Model of Noise
O Kviman, L Nilsson
2018
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Articles 1–10