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

Self-Supervised Representation Learning for Content Based Image Retrieval of Complex Scenes. - Hariprasath Govindarajan; Peter Lindskog; Dennis Lundström; Amanda Olmin; Jacob Roll; Fredrik Lindsten (IV Workshops, 2021)

Robustness and Reliability When Training With Noisy Labels. - Amanda Olmin; Fredrik Lindsten (AISTATS, 2022)

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)

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

Towards understanding epoch-wise double descent in two-layer linear neural networks. - Amanda Olmin; Fredrik Lindsten (CoRR, 2024)

Perspectives on Predictive and Annotation Uncertainty in Probabilistic Machine Learning ; Perspektiv på prediktiv- och etikettosäkerhet i probabilistisk maskininlärning. - Amanda Olmin (2024)