Stuckenschmidt, Heiner

33 publications

JAIR 2025 Causal Graphs and Fairness in Machine Learning: Addressing Practical Challenges in Causal Fairness Evaluation Lea Cohausz, Jakob Kappenberger, Heiner Stuckenschmidt

ICLRW 2025 Decision Trees That Remember: Gradient-Based Learning of Recurrent Decision Trees with Memory Sascha Marton, Moritz Schneider, Jannik Brinkmann, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

LoG 2025 Dynamic Representations of Global Crises: A Temporal Knowledge Graph for Conflicts, Trade and Value Networks Julia Gastinger, Timo Sztyler, Nils Steinert, Sabine Gründer-Fahrer, Michael Martin, Anett Schuelke, Heiner Stuckenschmidt

ICLR 2025 Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization Sascha Marton, Tim Grams, Florian Vogt, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

ICLRW 2025 Unreflected Use of Tabular Data Repositories Can Undermine Research Quality Andrej Tschalzev, Lennart Purucker, Stefan Lüdtke, Frank Hutter, Christian Bartelt, Heiner Stuckenschmidt

NeurIPS 2024 A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data Andrej Tschalzev, Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

IJCAI 2024 Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods Andrej Tschalzev, Paul Nitschke, Lukas Kirchdorfer, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

MLJ 2024 Explaining Neural Networks Without Access to Training Data Sascha Marton, Stefan Lüdtke, Christian Bartelt, Andrej Tschalzev, Heiner Stuckenschmidt

ICLR 2024 GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

AAAI 2024 GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

IJCAI 2024 History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schülke, Heiner Stuckenschmidt

IJCAI 2024 PyClause - Simple and Efficient Rule Handling for Knowledge Graphs Patrick Betz, Luis Galárraga, Simon Ott, Christian Meilicke, Fabian M. Suchanek, Heiner Stuckenschmidt

NeurIPS 2024 TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs Julia Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau

ECML-PKDD 2023 Comparing Apples and Oranges? on the Evaluation of Methods for Temporal Knowledge Graph Forecasting Julia Gastinger, Timo Sztyler, Lokesh Sharma, Anett Schuelke, Heiner Stuckenschmidt

NeurIPSW 2023 GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

ECML-PKDD 2023 Learning Disentangled Discrete Representations David Friede, Christian Reimers, Heiner Stuckenschmidt, Mathias Niepert

AAAI 2023 Online Random Feature Forests for Learning in Varying Feature Spaces Christian Schreckenberger, Yi He, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

IJCAI 2023 Towards Utilitarian Online Learning - A Review of Online Algorithms in Open Feature Space Yi He, Christian Schreckenberger, Heiner Stuckenschmidt, Xindong Wu

IJCAI 2022 Adversarial Explanations for Knowledge Graph Embeddings Patrick Betz, Christian Meilicke, Heiner Stuckenschmidt

IJCAI 2022 Exchangeability-Aware Sum-Product Networks Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

IJCAI 2019 Anytime Bottom-up Rule Learning for Knowledge Graph Completion Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt

IJCAI 2019 PRoFET: Predicting the Risk of Firms from Event Transcripts Christoph Kilian Theil, Samuel Broscheit, Heiner Stuckenschmidt

IJCAI 2017 Automatic Assessment of Absolute Sentence Complexity Sanja Stajner, Simone Paolo Ponzetto, Heiner Stuckenschmidt

AAAI 2017 Marrying Uncertainty and Time in Knowledge Graphs Melisachew Wudage Chekol, Giuseppe Pirrò, Joerg Schoenfisch, Heiner Stuckenschmidt

IJCAI 2016 Group Decision Making via Probabilistic Belief Merging Nico Potyka, Erman Acar, Matthias Thimm, Heiner Stuckenschmidt

AAAI 2013 RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models Jan Noessner, Mathias Niepert, Heiner Stuckenschmidt

IJCAI 2011 Log-Linear Description Logics Mathias Niepert, Jan Noessner, Heiner Stuckenschmidt

AAAI 2010 A Probabilistic-Logical Framework for Ontology Matching Mathias Niepert, Christian Meilicke, Heiner Stuckenschmidt

AAAI 2008 Supporting Manual Mapping Revision Using Logical Reasoning Christian Meilicke, Heiner Stuckenschmidt, Andrei Tamilin

AAAI 2007 Partial Matchmaking Using Approximate Subsumption Heiner Stuckenschmidt

AAAI 2007 Repairing Ontology Mappings Christian Meilicke, Heiner Stuckenschmidt, Andrei Tamilin

IJCAI 2005 A Formal Investigation of Mapping Language for Terminological Knowledge Luciano Serafini, Heiner Stuckenschmidt, Holger Wache

IJCAI 2003 Integrity and Change in Modular Ontologies Heiner Stuckenschmidt, Michel C. A. Klein