Harmeling, Stefan

30 publications

MLJ 2025 A Survey on Self-Supervised Methods for Visual Representation Learning Tobias Uelwer, Jan Robine, Stefan Sylvius Wagner, Marc Höftmann, Eric Upschulte, Sebastian Konietzny, Maike Behrendt, Stefan Harmeling

ICLR 2025 Simple, Good, Fast: Self-Supervised World Models Free of Baggage Jan Robine, Marc Höftmann, Stefan Harmeling

ICLR 2025 The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions Stefan Sylvius Wagner, Maike Behrendt, Marc Ziegele, Stefan Harmeling

ICML 2024 Just Cluster It: An Approach for Exploration in High-Dimensions Using Clustering and Pre-Trained Representations Stefan Sylvius Wagner, Stefan Harmeling

NeurIPSW 2024 The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions Stefan Sylvius Wagner, Maike Behrendt, Marc Ziegele, Stefan Harmeling

NeurIPSW 2023 Backward Learning for Goal-Conditioned Policies Marc Höftmann, Jan Robine, Stefan Harmeling

TMLR 2023 Cyclophobic Reinforcement Learning Stefan Sylvius Wagner, Peter Arndt, Jan Robine, Stefan Harmeling

JMLR 2023 Learning Conditional Generative Models for Phase Retrieval Tobias Uelwer, Sebastian Konietzny, Alexander Oberstrass, Stefan Harmeling

ICLR 2023 Transformer-Based World Models Are Happy with 100k Interactions Jan Robine, Marc Höftmann, Tobias Uelwer, Stefan Harmeling

NeurIPSW 2022 Cyclophobic Reinforcement Learning Stefan Sylvius Wagner, Peter Arndt, Jan Robine, Stefan Harmeling

TMLR 2022 Optimizing Intermediate Representations of Generative Models for Phase Retrieval Tobias Uelwer, Sebastian Konietzny, Stefan Harmeling

NeurIPSW 2022 Optimizing Intermediate Representations of Generative Models for Phase Retrieval Tobias Uelwer, Sebastian Konietzny, Stefan Harmeling

NeurIPSW 2022 Time-Myopic Go-Explore: Learning a State Representation for the Go-Explore Paradigm Marc Höftmann, Jan Robine, Stefan Harmeling

NeurIPSW 2022 Transformer-Based World Models Are Happy with 100k Interactions Jan Robine, Marc Höftmann, Tobias Uelwer, Stefan Harmeling

NeurIPSW 2021 A Closer Look at Reference Learning for Fourier Phase Retrieval Tobias Uelwer, Nick Rucks, Stefan Harmeling

AISTATS 2020 Modular Block-Diagonal Curvature Approximations for Feedforward Architectures Felix Dangel, Stefan Harmeling, Philipp Hennig

CVPR 2013 A Machine Learning Approach for Non-Blind Image Deconvolution Christian J. Schuler, Harold Christopher Burger, Stefan Harmeling, Bernhard Scholkopf

CVPR 2013 On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit Stefan Harmeling, Michael Hirsch, Bernhard Scholkopf

ECCV 2012 Blind Correction of Optical Aberrations Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf

CVPR 2012 Image Denoising: Can Plain Neural Networks Compete with BM3D? Harold Christopher Burger, Christian J. Schuler, Stefan Harmeling

ECCV 2012 Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database Rolf Köhler, Michael Hirsch, Betty J. Mohler, Bernhard Schölkopf, Stefan Harmeling

ICCV 2011 Fast Removal of Non-Uniform Camera Shake Michael Hirsch, Christian J. Schuler, Stefan Harmeling, Bernhard Schölkopf

ICCV 2011 Non-Stationary Correction of Optical Aberrations Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf

CVPR 2010 Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution Michael Hirsch, Suvrit Sra, Bernhard Schölkopf, Stefan Harmeling

JMLR 2010 How to Explain Individual Classification Decisions David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller

NeurIPS 2010 Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake Stefan Harmeling, Hirsch Michael, Bernhard Schölkopf

CVPR 2009 Learning to Detect Unseen Object Classes by Between-Class Attribute Transfer Christoph H. Lampert, Hannes Nickisch, Stefan Harmeling

JMLR 2003 Blind Separation of Post-Nonlinear Mixtures Using Linearizing Transformations and Temporal Decorrelation Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling, Klaus-Robert Müller

NeCo 2003 Kernel-Based Nonlinear Blind Source Separation Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller

NeurIPS 2001 Kernel Feature Spaces and Nonlinear Blind Souce Separation Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller