Stefan Harmeling
13 papers · 2003–2025 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (30) 🏃 Academic Marathon · Ultra 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Keyword Trendsetter Combo
(3)
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Keyword Pioneer
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Trend Setter
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Renaissance Researcher
(7)
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Conference Pioneer
🗃️
Keyword Collector
(74)
💎
Century Club · Bronze
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Research topics
Machine Learning
(12)
Deep Learning
(8)
Core Methods
(7)
Architectures
(5)
Application Areas
(4)
Learning Types
(4)
Optimization & Theory · Machine Learning
(4)
Artificial Intelligence
(3)
Computer Vision
(3)
Core AI
(3)
Optimization & Theory · Deep Learning
(3)
Processing
(3)
Computer Science
(1)
Interdisciplinary
(1)
Mathematics & Optimization
(1)
Keywords
world model
(2)
data augmentation
(2)
text classification
(2)
representation learning
(1)
non-convex optimization
(1)
blind source separation
(1)
sample efficiency
(1)
image restoration
(1)
clustering
(1)
blind deconvolution
(1)
image reconstruction
(1)
self-supervised learning
(1)
stance detection
(1)
transfer learning
(1)
reinforcement learning
(1)
motion blur
(1)
conditional generation
(1)
feature importance
(1)
neural network optimization
(1)
transformer architecture
(1)
Papers
Simple, Good, Fast: Self-Supervised World Models Free of Baggage
ICLR 2025
Supporting Online Discussions: Integrating AI Into the adhocracy+ Participation Platform To Enhance Deliberation
EMNLP 2025
The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions
ICLR 2025
AQuA – Combining Experts’ and Non-Experts’ Views To Assess Deliberation Quality in Online Discussions Using LLMs
COLING 2024
Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations
ICML 2024
Learning Conditional Generative Models for Phase Retrieval
JMLR 2023
Transformer-based World Models Are Happy With 100k Interactions
ICLR 2023
Modular Block-diagonal Curvature Approximations for Feedforward Architectures
AISTATS 2020
A Machine Learning Approach for Non-blind Image Deconvolution
CVPR 2013
On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit
CVPR 2013
How to Explain Individual Classification Decisions
JMLR 2010
Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake
NeurIPS 2010
Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation
JMLR 2003