Amanda Olmin

PhD student

My research lies in the intersection between the fields of deep learning and probabilistic modelling. The aim is to develop deep learning models that can reason about uncertainties, such as those emerging from noise inherent in most data.

Publications

2024

Amanda Olmin (2024) Perspectives on Predictive and Annotation Uncertainty in Probabilistic Machine Learning

Amanda Olmin, Jakob Lindqvist, Lennart Svensson, Fredrik Lindsten (2024) On the connection between Noise-Contrastive Estimation and Contrastive Divergence INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 238, p. 3016-3024 (Conference paper)

2023

Jakob Lindqvist, Amanda Olmin, Lennart Svensson, Fredrik Lindsten (2023) Generalised Active Learning With Annotation Quality Selection IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP) (Conference paper)

Continue to DOI

Amanda Olmin, Jakob Lindqvist, Lennart Svensson, Fredrik Lindsten (2023) Active Learning with Weak Supervision for Gaussian Processes Neural Information Processing 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part V, p. 195-204 (Conference paper)

Continue to DOI

2022

Amanda Olmin, Fredrik Lindsten (2022) Robustness and Reliability When Training With Noisy Labels Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022, p. 922-942 (Conference paper)

Research

robot dog Spot, drone, small helicopter, operator

WASP at Department of Computer and Information Science (IDA)

WASP, Wallenberg AI autonomous systems and software program, is the largest individual research investment in Sweden in modern times. One of the WASP research environments at LiU is located at the Department of Computer and Information Science.

Organisation

The Division of Statistics and Machine Learning (STIMA)

The STIMA division is part of the Department of Computer and Information Science. The research and teaching activities are focused on modern data analysis and the division hosts the international master's programme in Statistics and Machine Learning.

Department of Computer and Information Science (IDA)

The Department of Computer and Information Science is one of the largest departments in northern Europe in its field. Research activity covers artificial intelligence, human-computer interaction, software and computer systems, and data science.

Campus Valla

Valla is the oldest and largest campus of Linköping University with students from many programmes and research in many fields. Campus Valla is located about three kilometres from Linköping city centre.