David Bergström

PhD student

Publications

2024

Resmi Ramachandranpillai, Md Fahim Sikder, David Bergström, Fredrik Heintz (2024) Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks The journal of artificial intelligence research, Vol. 79, p. 1313-1341 (Article in journal) Continue to DOI

2023

Mattias Tiger, David Bergström, Simon Wijk Stranius, Evelina Holmgren, Daniel de Leng, Fredrik Heintz (2023) On-Demand Multi-Agent Basket Picking for Shopping Stores 2023 IEEE International Conference on Robotics and Automation (ICRA), p. 5793-5799 (Conference paper) Continue to DOI

2021

Mattias Tiger, David Bergström, Andreas Norrstig, Fredrik Heintz (2021) Enhancing Lattice-Based Motion Planning With Introspective Learning and Reasoning IEEE Robotics and Automation Letters, Vol. 6, p. 4385-4392 (Article in journal) Continue to DOI

2020

Fredrik Präntare, Mattias Tiger, David Bergström, Herman Appelgren, Fredrik Heintz (2020) Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms Trustworthy AI - Integrating Learning, Optimization and Reasoning: First International Workshop, TAILOR 2020, Virtual Event, September 4–5, 2020, Revised Selected Papers, p. 104-111 (Conference paper) Continue to DOI

2019

David Bergström, Mattias Tiger, Fredrik Heintz (2019) Bayesian optimization for selecting training and validation data for supervised machine learning 31st annual workshop of the Swedish Artificial Intelligence Society (SAIS 2019), Umeå, Sweden, June 18-19, 2019. (Conference paper)

About the division

Colleagues at AIICS

About the department