Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms. - Fredrik Präntare; Mattias Tiger; David Bergström 002; Herman Appelgren; Fredrik Heintz (TAILOR, 2020)

Enhancing Lattice-Based Motion Planning With Introspective Learning and Reasoning. - Mattias Tiger; David Bergström 002; Andreas Norrstig; Fredrik Heintz (IEEE Robotics Autom. Lett., 2021)

Learning Heuristics for Combinatorial Assignment by Optimally Solving Subproblems. - Fredrik Präntare; Herman Appelgren; Mattias Tiger; David Bergström 002; Fredrik Heintz (AAMAS, 2022)

On-Demand Multi-Agent Basket Picking for Shopping Stores. - Mattias Tiger; David Bergström 002; Simon Wijk Stranius; Evelina Holmgren; Daniel de Leng; Fredrik Heintz (ICRA, 2023)

Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models. - David Bergström 002; Mattias Tiger; Fredrik Heintz (CoRR, 2024)

Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks. - Resmi RamachandranPillai; Md. Fahim Sikder; David Bergström 002; Fredrik Heintz (J. Artif. Intell. Res., 2024)