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Institute for Artificial Intelligence
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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
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AI4MedCode
AISA
ATLAS
kr-building
Co-inform
COFFEE
CutLER
EVOWIPE
Ikileus
InMotion
KnownGraphs
LISeQ
MICME
OpAMin
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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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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
Research Group: Informations Systems
Information Systems
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Institute
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Iurshina, Anastasiia
Anastasiia Iurshina
Researcher
KI
Analytic Computing
Contact
Germany
Teaching
Deep Learning Lab 2022/23 Winter Term
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