← Authors

Heiner Stuckenschmidt

26 papers · 2011–2025 · 8 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (14) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (50) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (8) πŸ—ƒοΈ Keyword Collector (106) ⚑ Prolific Year (7) πŸ“ˆ Trend Setter πŸ’Ž Century Club (26) πŸ”₯ Unstoppable (10) ❓ The Questioner

Conferences

IJCAI (10) ACL (4) COLING (3) AAAI (2) EMNLP (2) ICLR (2) NIPS (2) IJCNLP (1)

Top co-authors

Christian Bartelt (7) Stefan LΓΌdtke (7) Ioana HulpuΘ™ (5) Sanja Ε tajner (4) Jonathan Kobbe (4) Sascha Marton (4) Christian Meilicke (4) Simone Paolo Ponzetto (3) Andrej Tschalzev (2) Christoph Kilian Theil (2)

Research topics

Applications (1)

Keywords

text classification (4) knowledge graph (4) natural language processing (3) link prediction (2) stance detection (2) argument mining (2) knowledge representation (2) rule learning (2) temporal knowledge graph (2) feature engineering (2) transfer learning (1) probabilistic inference (1) graph prediction (1) hyperparameter optimization (1) binary classification (1) multi-task learning (1) temporal reasoning (1) sentiment analysis (1) online learning (1) machine translation (1)

Papers

Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization ICLR 2025
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs NIPS 2024
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent AAAI 2024
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data NIPS 2024
GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data ICLR 2024
History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting IJCAI 2024
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods IJCAI 2024
PyClause - Simple and Efficient Rule Handling for Knowledge Graphs IJCAI 2024
Online Random Feature Forests for Learning in Varying Feature Spaces AAAI 2023
Towards Utilitarian Online Learning -- A Review of Online Algorithms in Open Feature Space IJCAI 2023
Effect Graph: Effect Relation Extraction for Explanation Generation ACL 2023
Exchangeability-Aware Sum-Product Networks IJCAI 2022
Adversarial Explanations for Knowledge Graph Embeddings IJCAI 2022
Come hither or go away? Recognising pre-electoral coalition signals in the news EMNLP 2021
Exploring Morality in Argumentation COLING 2020
Predicting Modality in Financial Dialogue COLING 2020
Knowledge Graphs meet Moral Values COLING 2020
Unsupervised stance detection for arguments from consequences EMNLP 2020
PRoFET: Predicting the Risk of Firms from Event Transcripts IJCAI 2019
Anytime Bottom-Up Rule Learning for Knowledge Graph Completion IJCAI 2019
A Spreading Activation Framework for Tracking Conceptual Complexity of Texts ACL 2019
Word Embeddings-Based Uncertainty Detection in Financial Disclosures ACL 2018
Sentence Alignment Methods for Improving Text Simplification Systems ACL 2017
Automatic Assessment of Absolute Sentence Complexity IJCAI 2017
Group Decision Making via Probabilistic Belief Merging IJCAI 2016
Fine-Grained Sentiment Analysis with Structural Features IJCNLP 2011