51 citations · 54 across the 10 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2023
MCMC-Correction of Score-Based Diffusion Models for Model Composition
Anders Sjöberg, Jakob Lindqvist, Magnus Önnheim +2
Diffusion models can be parameterized in terms of either score or energy function. The energy parameterization is attractive as it enables sampling procedures such as Markov Chain…
stat.ML2022★ 1 cited
Active Learning with Weak Supervision for Gaussian Processes
Amanda Olmin, Jakob Lindqvist, Lennart Svensson +1
Annotating data for supervised learning can be costly. When the annotation budget is limited, active learning can be used to select and annotate those observations that are likely…