Scholar
Oskar Kviman
Google Scholar ID: 14zWu9UAAAAJ
Ph.D. student computer science, KTH
Citations & Impact
Citations
96
H-index
5
i10-index
3
Publications
13
Co-authors
6
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Two papers published at ICML 2024: 'Efficient Mixture Learning in Black-Box Variational Inference' and 'Indirectly Parameterized Concrete Autoencoders'
- Oral presentation at NeurIPS 2022: 'VaiPhy: a Variational Inference Based Algorithm for Phylogeny'
- Paper published at AISTATS 2024: 'Variational Resampling'
- Paper published at ICML 2023: 'Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders'
- Journal paper in TMLR 2024: 'Improved Variational Bayesian Phylogenetic Inference using Mixtures'
- Multiple preprints and publications in bioRxiv, arXiv, and ICANN
- Top reviewer (top 10%) at AISTATS 2023
