David Bergström

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Greedy Heuristic

Probabilistic Networks

Generative Model

Motion Planning

Top Venues

IEEE Robotics Autom. Lett.

Publications

David Bergström, Mattias Tiger, Fredrik Heintz
Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models. CoRR (2024)
Resmi RamachandranPillai, Md. Fahim Sikder, David Bergström, Fredrik Heintz
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks. J. Artif. Intell. Res. 79 (2024)
Resmi RamachandranPillai, Md. Fahim Sikder, David Bergström, Fredrik Heintz
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks. CoRR (2024)
Mattias Tiger, David Bergström, Simon Wijk Stranius, Evelina Holmgren, Daniel de Leng, Fredrik Heintz
On-Demand Multi-Agent Basket Picking for Shopping Stores. ICRA (2023)
Fredrik Präntare, Herman Appelgren, Mattias Tiger, David Bergström, Fredrik Heintz
Learning Heuristics for Combinatorial Assignment by Optimally Solving Subproblems. AAMAS (2022)
Mattias Tiger, David Bergström, Andreas Norrstig, Fredrik Heintz
Enhancing Lattice-Based Motion Planning With Introspective Learning and Reasoning. IEEE Robotics Autom. Lett. 6 (3) (2021)
Fredrik Präntare, Mattias Tiger, David Bergström, Herman Appelgren, Fredrik Heintz
Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms. CoRR (2021)
Fredrik Präntare, Mattias Tiger, David Bergström, Herman Appelgren, Fredrik Heintz
Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms. TAILOR (2020)
Mattias Tiger, David Bergström, Andreas Norrstig, Fredrik Heintz
Enhancing Lattice-based Motion Planning with Introspective Learning and Reasoning. CoRR (2020)