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Institute for Artificial Intelligence
Uni
versity of Stuttgart
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Analytic Computing
Intelligent Sensing and Perception
Machine Learning for Simulation Science
Socially Intelligent Robotics Lab
Research Group: Informations Systems
Analytic Computing
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Faithful Embeddings for EL++ Knowledge Bases
Projects
AI4MedCode
AISA
ATLAS
kr-building
Co-inform
COFFEE
CutLER
EVOWIPE
Ikileus
InMotion
KnownGraphs
LISeQ
MICME
OpAMin
OUTCITE
Semanux
ServiceMeister
UDeco
XAPS
Teaching
Thesis Procedure
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Student Theses
Bayesian Symbolic Regression in Structured Latent Spaces
Biomedical entity linking based on BLINK
Detecting Polarized Politicians in Online Discussions with Deep Learning
Multi-label-Emotion-Classification-Using-Large-Language-Models
Schema-based re-evaluation of knowledge graph embeddings
Mixed Resolution Schemes for Efficient and Effective Knowledge Graph Embeddings
Byte pair encodings for knowledge graph embedings
KG-embedding-space-identification
Thesis Topics
bayesian-modeling-1
bayesian-modeling-2
bio-data-mining
biomedical-ner
Quantitative Comparisons of Real-time Emotion Recognitions
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explanation-based-learning
extracting-ref-pdf-bert
eye-gaze-translation
eye-tracking-approach
fake-news-representation
Adversarial Attacks for Time-series Models
friction-potential
gaze-voice-game
Hybrid Finite Gain Stable Network to Identify Ship Motion in Open Water
icon-semantic-identification
System Identification of Ships with Physics-Informed Neural Networks
learning-quantitative-argumentation-frameworks
modeling-entity-type-interactions
multi-view-clustering
outlier-region-detection
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prediction-vehicle-states
semantic-reasoning
web-text-recognition
Virtual RDF stores for Property Graphs
Computing how-provenance in Knowledge Graphs
Intelligent Sensing and Perception
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Machine Learning for Simulation Science
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Student Theses
Influence estimation for attributing the unfairness of GNNS to training data
Layout to Image for Defect Synthesis via Diffusion Models
Linear Transformers for Solving Parametric Partial Differential Equations
Model-Based Reinforcement Learning under Sparse Rewards
Data Attribution for Diffusion Models
Research Topics
Positive-unlabeled learning for knowledge graphs
Generative Modeling (VLM, LLM, Diffusion Models, etc.)
Graph neural networks (GNNs) for Protein-Ligand binding prediction
Machine Learning for Partial Differential Equations
Modeling Long Range Dependencies for Sequential Data
Towards robust and trustworthy Geometric Deep Learning
Vision and Language: Fusion Models, Flamingo
Scalable and Efficient Multi-modal Learning Algorithm with Applications in Healthcare and Science
Research Group: Informations Systems
Information Systems
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Institute
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Geyer, Stefan
Stefan Geyer
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Universitätsstraße 32
70569
Stuttgart
Room: 2.314a
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