Steffen Staab
29 papers · 2002–2026 · 15 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (41) π Conference Polyglot Β· Gold π Academic Marathon Β· Ultra π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π¬
Deep Specialist
(11)
π
Grand Slam
π€
Dynamic Duo
(12)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
π
Century Club Β· Bronze
π
Conference Pioneer
π
Trend Setter
ποΈ
Keyword Collector
(121)
Venues
Top co-authors
Research topics
Machine Learning
(17)
Core Methods
(12)
Artificial Intelligence
(11)
Knowledge & Reasoning
(11)
Representation
(11)
Core AI
(8)
Deep Learning
(7)
Architectures
(5)
Optimization & Theory
(5)
Natural Language Processing
(4)
Applications
(4)
Learning Types
(4)
Computer Vision
(3)
Analysis
(3)
Bayesian & Probabilistic
(2)
Keywords
knowledge graph embedding
(9)
link prediction
(8)
knowledge graph
(4)
uncertainty quantification
(3)
conformal prediction
(3)
zero-shot learning
(3)
retrieval-augmented generation
(2)
multi-hop reasoning
(2)
representation learning
(2)
hd map construction
(2)
autonomous driving
(2)
probabilistic inference
(1)
relational learning
(1)
scene understanding
(1)
approximate inference
(1)
text classification
(1)
masked language model
(1)
computer vision
(1)
knowledge representation
(1)
temporal reasoning
(1)
Papers
Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings
UAI 2026
AugMapNet: Improving Spatial Latent Structure via BEV Grid Augmentation for Enhanced Vectorized Online HD Map Construction
WACV 2026
NavMapFusion: Diffusion-based Fusion of Navigation Maps for Online Vectorized HD Map Construction
WACV 2026
SCAIR: Schema-Conditioned Agentic Iterative Reasoning for Enterprise Knowledge Graphs
ACL 2026
Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning
AAAI 2026
What Breaks Knowledge Graph based RAG? Benchmarking and Empirical Insights into Reasoning under Incomplete Knowledge
EACL 2026
Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees
EMNLP 2025
Conformalized Answer Set Prediction for Knowledge Graph Embedding
NAACL 2025
From Tokens to Lattices: Emergent Lattice Structures in Language Models
ICLR 2025
Is Complex Query Answering Really Complex?
ICML 2025
MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning
ICCV 2025
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings
ACL 2025
SEMMA: A Semantic Aware Knowledge Graph Foundation Model
EMNLP 2025
Disambiguating Emotional Connotations of Words Using Contextualized Word Representations
NAACL 2024
HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces
AAAI 2024
Leveraging Wikidata for Biomedical Entity Linking in a Low-Resource Setting: A Case Study for German
NAACL 2024
NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning
AAAI 2024
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction
EMNLP 2024
CNVVE: Dataset and Benchmark for Classifying Non-verbal Voice
Interspeech 2023
Knowledge Graph Embeddings using Neural Ito Process: From Multiple Walks to Stochastic Trajectories
ACL 2023
ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks
IJCAI 2023
Shrinking Embeddings for Hyper-Relational Knowledge Graphs
ACL 2023
Hyperbolic Embedding Inference for Structured Multi-Label Prediction
NeurIPS 2022
Pseudo-Riemannian Graph Convolutional Networks
NeurIPS 2022
CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors
SemEval 2019
A Generalized Language Model as the Combination of Skipped n-grams and Modified Kneser Ney Smoothing
ACL 2014
Feature Weighting for Co-occurrence-based Classification of Words
COLING 2004
Word classification based on combined measures of distributional and semantic similarity
EACL 2003
Taxonomy Learning - Factoring the Structure of a Taxonomy into a Semantic Classification Decision
COLING 2002