Publications by Oskar Kviman
Peer reviewed
Conference papers
[1]
A. Hotti et al., "Efficient mixture learning in black-box variational inference," in International Conference on Machine Learning, ICML 2024, 2024, pp. 18972-18991.
[2]
A. Nilsson et al., "Indirectly Parameterized Concrete Autoencoders," in International Conference on Machine Learning, ICML 2024, 2024, pp. 38237-38252.
[3]
O. Kviman et al., "Variational Resampling," in Proceedings of the 27th International Conference on Artificial Intelligence and Statistics, AISTATS 2024, 2024, pp. 3286-3294.
[4]
O. Kviman et al., "Variational Resampling," in INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 238, 2024.
[5]
O. Kviman et al., "Cooperation in the Latent Space : The Benefits of Adding Mixture Components in Variational Autoencoders," in Proceedings of the 40th International Conference on Machine Learning, ICML 2023, 2023, pp. 18008-18022.
[6]
O. Kviman et al., "Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations," in International Conference on Artificial Intelligence and Statistics, Vol 151, 2022.
[7]
H. Koptagel et al., "VaiPhy : a Variational Inference Based Algorithm for Phylogeny," in Proceedings Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022, 2022.
[8]
R. H. Martinez Mayorquin et al., "Sequence Disambiguation with Synaptic Traces in Associative Neural Networks," in 28th International Conference on Artificial Neural Networks, ICANN 2019, 2019, pp. 793-805.
Non-peer reviewed
Other
[9]
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