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Oskar Kviman

6 papers · 2022–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (11)

Venues

ICML (3) AISTATS (2) NeurIPS (1)

Top co-authors

Jens Lagergren (6) Alexandra Hotti (3) Hazal Koptagel (2) Ricky Molén (2) Vı́ctor Elvira (2) Victor Elvira (2) Harald Melin (2) Klas Wijk (1) Carlo Saccardi (1) Alfred Nilsson (1)

Research topics

Deep Learning (6) Machine Learning (5) Models (4) Optimization & Theory (4) Artificial Intelligence (2) Bayesian & Probabilistic · Machine Learning (2) Bayesian & Probabilistic · Artificial Intelligence (2) Core Methods (2) Architectures (1) Techniques (1)

Keywords

evidence lower bound (3) variational inference (3) importance sampling (2) variational autoencoder (2) embedding (1) markov chain monte carlo (1) particle filter (1) generative model (1) mixture model (1) latent representation (1) normalizing flow (1) target distribution (1) lower bound (1) gumbel softmax (1) nonlinear relationship (1) tree topology (1) deep ensemble (1) resampling scheme (1) black-box variational inference (1) one-hot encoding (1)

Papers

Efficient Mixture Learning in Black-Box Variational Inference ICML 2024 Indirectly Parameterized Concrete Autoencoders ICML 2024 Variational Resampling AISTATS 2024 Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders ICML 2023 Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations AISTATS 2022 VaiPhy: a Variational Inference Based Algorithm for Phylogeny NeurIPS 2022