Kviman, Oskar

7 publications

ICML 2024 Efficient Mixture Learning in Black-Box Variational Inference Alexandra Hotti, Oskar Kviman, Ricky Molén, Vı́ctor Elvira, Jens Lagergren

TMLR 2024 Improved Variational Bayesian Phylogenetic Inference Using Mixtures Ricky Molén, Oskar Kviman, Jens Lagergren

ICML 2024 Indirectly Parameterized Concrete Autoencoders Alfred Nilsson, Klas Wijk, Sai Bharath Chandra Gutha, Erik Englesson, Alexandra Hotti, Carlo Saccardi, Oskar Kviman, Jens Lagergren, Ricardo Vinuesa Motilva, Hossein Azizpour

AISTATS 2024 Variational Resampling Oskar Kviman, Nicola Branchini, Víctor Elvira, Jens Lagergren

ICML 2023 Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders Oskar Kviman, Ricky Molén, Alexandra Hotti, Semih Kurt, Vı́ctor Elvira, Jens Lagergren

AISTATS 2022 Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations Oskar Kviman, Harald Melin, Hazal Koptagel, Victor Elvira, Jens Lagergren

NeurIPS 2022 VaiPhy: A Variational Inference Based Algorithm for Phylogeny Hazal Koptagel, Oskar Kviman, Harald Melin, Negar Safinianaini, Jens Lagergren