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2020 – today
- 2025
[j2]Jakub Peleska
, Gustav Sír:
Tabular Transformers Meet Relational Databases. ACM Trans. Intell. Syst. Technol. 16(5): 115:1-115:24 (2025)- [j1]Martin Krutsky, Gustav Sír:
Geometric Deep Learning for the Rubik's Cube Group. IEEE Trans. Neural Networks Learn. Syst. 36(12): 20214-20228 (2025) - [c3]Rostislav Horcík, Gustav Sír, Vítezslav Simek, Tomás Pevný:
State Encodings for GNN-Based Lifted Planners. AAAI 2025: 26525-26533 - [c2]Jakub Peleska, Gustav Sír:
ReDeLEx: A Framework for Relational Deep Learning Exploration. ECML/PKDD (2) 2025: 438-456 - [i10]Vyacheslav Kungurtsev, Leonardo Christov Moore, Gustav Sír, Martin Krutsky:
"Cause" is Mechanistic Narrative within Scientific Domains: An Ordinary Language Philosophical Critique of "Causal Machine Learning". CoRR abs/2501.05844 (2025) - [i9]Danial Hooshyar, Eve Kikas, Yeongwook Yang, Gustav Sír, Raija Hämäläinen, Tommi Kärkkäinen, Roger Azevedo:
Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods. CoRR abs/2504.00615 (2025) - [i8]Danial Hooshyar, Gustav Sír, Yeongwook Yang, Eve Kikas, Raija Hämäläinen, Tommi Kärkkäinen, Dragan Gasevic, Roger Azevedo:
Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room. CoRR abs/2504.16148 (2025) - [i7]Jakub Peleska, Gustav Sír:
REDELEX: A Framework for Relational Deep Learning Exploration. CoRR abs/2506.22199 (2025) - [i6]Jakub Peleska, Gustav Sír:
Task-Agnostic Contrastive Pretraining for Relational Deep Learning. CoRR abs/2506.22530 (2025) - [i5]Martin Krutsky, Gustav Sír, Vyacheslav Kungurtsev, Georgios Korpas:
Binarizing Physics-Inspired GNNs for Combinatorial Optimization. CoRR abs/2507.13703 (2025) - [i4]Danial Hooshyar, Yeongwook Yang, Gustav Sír, Tommi Kärkkäinen, Raija Hämäläinen, Mutlu Cukurova, Roger Azevedo:
Problems With Large Language Models for Learner Modelling: Why LLMs Alone Fall Short for Responsible Tutoring in K-12 Education. CoRR abs/2512.23036 (2025) - 2024
- [c1]Rostislav Horcík, Gustav Sír:
Expressiveness of Graph Neural Networks in Planning Domains. ICAPS 2024: 281-289 - [i3]Dillon Z. Chen, Rostislav Horcík, Gustav Sír:
Deep Learning for Generalised Planning with Background Knowledge. CoRR abs/2410.07923 (2024) - [i2]Jakub Peleska, Gustav Sír:
Transformers Meet Relational Databases. CoRR abs/2412.05218 (2024) - 2023
- [p1]Gustav Sír, Filip Zelezný, Ondrej Kuzelka:
Lifted Relational Neural Networks: From Graphs to Deep Relational Learning. Compendium of Neurosymbolic Artificial Intelligence 2023: 308-336 - 2022
- [b1]Gustav Sír:
Deep Learning with Relational Logic Representations. Frontiers in Artificial Intelligence and Applications 357, IOS Press 2022, ISBN 978-1-64368-342-3, pp. 1-221 - 2020
- [i1]Ondrej Hubácek, Gustav Sír:
Beating the market with a bad predictive model. CoRR abs/2010.12508 (2020)
Coauthor Index
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