Oskar Kviman

According to our database, Oskar Kviman authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Hossein Azizpour

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Efficient Mixture Learning in Black-Box Variational Inference.

Alexandra Hotti, Oskar Kviman, Ricky Molén, Víctor Elvira, Jens Lagergren

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Variational Resampling.

Oskar Kviman, Nicola Branchini, Víctor Elvira, Jens Lagergren

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Improved Variational Bayesian Phylogenetic Inference using Mixtures.

Oskar Kviman, Ricky Molén, Jens Lagergren

CoRR, 2023

Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders.

Oskar Kviman, Ricky Molén, Alexandra Hotti, Semih Kurt, Víctor Elvira, Jens Lagergren

Proceedings of the International Conference on Machine Learning, 2023

2022

Statistical Distance Based Deterministic Offspring Selection in SMC Methods.

Oskar Kviman, Hazal Koptagel, Harald Melin, Jens Lagergren

CoRR, 2022

Learning with MISELBO: The Mixture Cookbook.

Oskar Kviman, Ricky Molén, Alexandra Hotti, Semih Kurt, Víctor Elvira, Jens Lagergren

CoRR, 2022

VaiPhy: a Variational Inference Based Algorithm for Phylogeny.

Hazal Koptagel, Oskar Kviman, Harald Melin, Negar Safinianaini, Jens Lagergren

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations.

Oskar Kviman, Harald Melin, Hazal Koptagel, Victor Elvira, Jens Lagergren

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2019

Sequence Disambiguation with Synaptic Traces in Associative Neural Networks.

Ramon H. Martinez, Oskar Kviman, Anders Lansner, Pawel Andrzej Herman

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019