Supervision

PhD Supervision

• Thorir Hrafn Hardarson, Causal Reinforcement Learning
• Willem Theodorus Schooltink, Causal Abstraction
• Yorgos Felekis, Learning Causal Abstractions (co-supervision with Theo Damoulas)

Project Supervision

• M. Dravucz, Jointly Learning Consistent Causal Abstraction Over Multiple Interventional Distributions, MSc by research at the University of Warwick, 2022
• M. Heggem, Graph Neural Networks to Process Threat Data, MSc dissertation at the University of Oslo, 2022
• W. Arild Dahl, Malware Detection using Recurrent Neural Networks, MSc dissertation at the University of Oslo, 2020
• S. Waisi, Analyzing AI Safety Problems in Reinforcement Learning, MSc dissertation at the University of Oslo, 2020
• M. Nini, Speech Emotion Recognition via Covariate Shift Adaptation, MSc dissertation at the University of Manchester, 2016

Advisory Supervision

• A. Wang-Hansen, Fair Automated Decision-making, MSc dissertation at the University of Oslo, 2020
• A. Egiazarov, Firearm Detection Through Component Decomposition, MSc dissertation at the University of Oslo, 2019
• L. Parker, Wind Power Predictions for Norwegian Wind Farms with Machine Learning, MSc dissertation at the University of Oslo, 2019
• S. Berdal, A Holistic Approach to Insider Threat Detection, MSc dissertation at the University of Oslo, 2018

PhD Revision

• R. Massidda, Methodological advancements for causal abstraction learning, PhD dissertation at the University of Pisa, 2024

MSc Revision

• M. Binner, Analyzing indirect object identification circuits in TinyStories-8M, MSc dissertation at the University of Bergen, 2024
• A.S. Alfnes, Fine-Tuning Large Language Models: Assessing Memorization and Redaction of Personally Identifiable Information, MSc dissertation at the BI Oslo, 2024
• C.G. Devis, Stem cell identification via RNA sequencing in breast cancer, MSc dissertation at the University of Bergen, 2024
• P.W. Temmerud, Quality Assurance of Medical Mass Spectrometry with Artificial Intelligence, MSc dissertation at the University of Bergen, 2024
• B.M. Aas, Minding the Gaps, MSc dissertation at the University of Oslo, 2024
• K.F. Orten, Exploring Dual-System Reasoning through Model-Free and Model-Based RL, MSc dissertation at the University of Oslo, 2024
• W. Schooltink, Topological Regularization of Support Vector Machines, MSc dissertation at the University of Bergen, 2023
• A.L. Henriksen, Learning Acquisition Functions for Cost-aware Bayesian Optimization, MSc dissertation at the University of Bergen, 2023
• D. Kocan, Attention-Guided Explainable Reinforcement Learning, MSc dissertation at the University of Oslo, 2023
• E.B. Taye, Accountability Module: Increasing Trust in Reinforcement Learning Agents, MSc dissertation at the University of Oslo, 2023
• A. Chaudhary and A. Sinha, Enterprises’ procurement data classification and spend visibility, MSc dissertation at BI Oslo, 2022
• M.K. Berntsen, Biological Analogies in Malware: Proposing a Phylogenetics-Inspired System for Malware Research, MSc dissertation at the University of Oslo, 2020
• I. Ytrehus, Detecting Buffer Overflows using Python, MSc dissertation at the University of Oslo, 2020
• T.F. Lyseggen, Keystroke as a Biometric for Authentication, MSc dissertation at the University of Oslo, 2019