A General Framework for Ensemble Distribution Distillation. - Jakob Lindqvist; Amanda Olmin; Fredrik Lindsten; Lennart Svensson (MLSP, 2020)

Active Learning with Weak Supervision for Gaussian Processes. - Amanda Olmin; Jakob Lindqvist; Lennart Svensson; Fredrik Lindsten (ICONIP (5), 2022)

Active Learning with Weak Labels for Gaussian Processes. - Amanda Olmin; Jakob Lindqvist; Lennart Svensson; Fredrik Lindsten (CoRR, 2022)

Generalised Active Learning With Annotation Quality Selection. - Jakob Lindqvist; Amanda Olmin; Lennart Svensson; Fredrik Lindsten (MLSP, 2023)

MCMC-Correction of Score-Based Diffusion Models for Model Composition. - Anders Sjöberg; Jakob Lindqvist; Magnus Önnheim; Mats Jirstrand; Lennart Svensson (CoRR, 2023)

On the connection between Noise-Contrastive Estimation and Contrastive Divergence. - Amanda Olmin; Jakob Lindqvist; Lennart Svensson; Fredrik Lindsten (AISTATS, 2024)

SwInception - Local Attention Meets Convolutions. - David Hagerman; Roman Naeem; Jakob Lindqvist; Carl Lindström; Fredrik Kahl; Lennart Svensson (ICPRAI (1), 2024)