David Bergström

David Bergström

PhD Student
Linköping University · AIICS · ReAL Lab
Fair AISynthetic DataGANs

About

David Bergström is a PhD student at the ReAL Lab working on fair AI, synthetic data generation, and generative adversarial networks for healthcare applications.

Publications 4

2024
Journal
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks
Resmi Ramachandranpillai, Md Fahim Sikder, David Bergström, Fredrik Heintz
The journal of artificial intelligence research 79:1313-1341
2023
Conference
On-Demand Multi-Agent Basket Picking for Shopping Stores
Mattias Tiger, David Bergström, Simon Wijk Stranius, Evelina Holmgren, Daniel de Leng, Fredrik Heintz
2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 5793-5799, IEEE
2021
Journal
Enhancing Lattice-Based Motion Planning With Introspective Learning and Reasoning
Mattias Tiger, David Bergström, Andreas Norrstig, Fredrik Heintz
IEEE Robotics and Automation Letters 6:4385-4392
2020
Conference
Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms
Fredrik Präntare, Mattias Tiger, David Bergström, Herman Appelgren, Fredrik Heintz
Trustworthy AI - Integrating Learning, Optimization and Reasoning, Fredrik Heintz, Michela Milano, Barry O’Sullivan (eds.), Lecture Notes in Computer Science, pp. 104-111, Springer, Cham, Germany
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