| Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking T Bertram, J Fürnkranz, M Müller 2021 IEEE Conference on Games (CoG), 1-9, 2021 | 13 | 2021 |
| Supervised and Reinforcement Learning from Observations in Reconnaissance Blind Chess T Bertram, J Fürnkranz, M Müller 2022 IEEE Conference on Games (CoG), 608-611, 2022 | 7 | 2022 |
| The machine reconnaissance blind chess tournament of NeurIPS 2022 RW Gardner, G Perrotta, A Shah, S Kalyanakrishnan, KA Wang, G Clark, ... NeurIPS 2022 Competition Track, 119-132, 2023 | 3 | 2023 |
| Weighting Information Sets with Siamese Neural Networks in Reconnaissance Blind Chess T Bertram, J Fürnkranz, M Müller 2023 IEEE Conference on Games (CoG), 1-8, 2023 | 3 | 2023 |
| Learning With Generalised Card Representations for "Magic: The Gathering" T Bertram, J Fürnkranz, M Müller 2024 IEEE Conference on Games (CoG), 2024 | 1 | 2024 |
| A Comparison of Contextual and Non-Contextual Preference Ranking for Set Addition Problems T Bertram, J Fürnkranz, M Müller ICML 2021 SubSetML: Subset Selection in Machine Learning: From Theory to …, 2021 | 1 | 2021 |
| Neural Network-based Information Set Weighting for Playing Reconnaissance Blind Chess T Bertram, J Fürnkranz, M Müller IEEE Transactions on Games 2024, 2024 | | 2024 |
| Contrastive Learning of Preferences with a Contextual InfoNCE Loss T Bertram, J Fürnkranz, M Müller arXiv preprint arXiv:2407.05898, 2024 | | 2024 |
| Efficiently Training Neural Networks for Imperfect Information Games by Sampling Information Sets T Bertram, J Fürnkranz, M Müller KI 2024 - 47th German Conference on Artificial Intelligence, 2024 | | 2024 |
| Quantity vs Quality: Investigating the Trade-Off between Sample Size and Label Reliability T Bertram, J Fürnkranz, M Müller arXiv preprint arXiv:2204.09462, 2022 | | 2022 |
Johannes FürnkranzJohannes Kepler University, LinzVerified email at faw.jku.at
