Timo Bertram

19 papers C 5Misc 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Symbol-Equivariant Recurrent Reasoning Models.
CoRR
Richard Freinschlag, Timo Bertram, Erich Kobler, Andreas Mayr, Günter Klambauer
2025 C conf
Deceptive Game Design? Investigating the Impact of Visual Card Style on Player Perception.
CoG
Leonie Kallabis, Timo Bertram, Florian Rupp
2025 J jnl
Deceptive Game Design? Investigating the Impact of Visual Card Style on Player Perception.
CoRR
Leonie Kallabis, Timo Bertram, Florian Rupp
2025 J jnl
UrzaGPT: LoRA-Tuned Large Language Models for Card Selection in Collectible Card Games.
CoRR
Timo Bertram
2024 J jnl
Contrastive Learning of Preferences with a Contextual InfoNCE Loss.
CoRR
Timo Bertram, Johannes Fürnkranz, Martin Müller
2024 Misc conf
Efficiently Training Neural Networks for Imperfect Information Games by Sampling Information Sets.
KI
Timo Bertram, Johannes Fürnkranz, Martin Müller
2024 J jnl
Efficiently Training Neural Networks for Imperfect Information Games by Sampling Information Sets.
CoRR
Timo Bertram, Johannes Fürnkranz, Martin Müller
2024 C conf
Learning With Generalised Card Representations for "Magic: The Gathering".
CoG
Timo Bertram, Johannes Fürnkranz, Martin Müller
2024 J jnl
Learning With Generalised Card Representations for "Magic: The Gathering".
CoRR
Timo Bertram, Johannes Fürnkranz, Martin Müller
2024 J jnl
Neural Network-Based Information Set Weighting for Playing Reconnaissance Blind Chess.
IEEE Trans. Games
Timo Bertram, Johannes Fürnkranz, Martin Müller
2024 J jnl
Neural Network-based Information Set Weighting for Playing Reconnaissance Blind Chess.
CoRR
Timo Bertram, Johannes Fürnkranz, Martin Müller
2023 C conf
Weighting Information Sets with Siamese Neural Networks in Reconnaissance Blind Chess.
CoG
Timo Bertram, Johannes Fürnkranz, Martin Müller
2022 J jnl
Quantity vs Quality: Investigating the Trade-Off between Sample Size and Label Reliability.
CoRR
Timo Bertram, Johannes Fürnkranz, Martin Müller
2022 C conf
Supervised and Reinforcement Learning from Observations in Reconnaissance Blind Chess.
CoG
Timo Bertram, Johannes Fürnkranz, Martin Müller
2022 J jnl
Supervised and Reinforcement Learning from Observations in Reconnaissance Blind Chess.
CoRR
Timo Bertram, Johannes Fürnkranz, Martin Müller
2021 J jnl
A Comparison of Contextual and Non-Contextual Preference Ranking for Set Addition Problems.
CoRR
Timo Bertram, Johannes Fürnkranz, Martin Müller
2021 C conf
Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking.
CoG
Timo Bertram, Johannes Fürnkranz, Martin Müller
2021 J jnl
Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking.
CoRR
Timo Bertram, Johannes Fürnkranz, Martin Müller
2021 — conf
The Machine Reconnaissance Blind Chess Tournament of NeurIPS 2022.
NeurIPS (Competition and Demos)
Ryan W. Gardner, Gino Perrotta, Anvay Shah, Shivaram Kalyanakrishnan, Kevin A. Wang, Gregory Clark, Timo Bertram, Johannes Fürnkranz, Martin Müller, Brady P. Garrison, Prithviraj Dasgupta, Saeid Rezaei