Stefan Harmeling

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 52

Top Topics

Visual Object Categorization

Intermediate Representation

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Stefan Sylvius Wagner, Stefan Harmeling
Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations. CoRR (2024)
Stefan Sylvius Wagner, Maike Behrendt, Marc Ziegele, Stefan Harmeling
The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions. CoRR (2024)
Stefan Sylvius Wagner, Maike Behrendt, Marc Ziegele, Stefan Harmeling
SQBC: Active Learning using LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions. CoRR (2024)
Maike Behrendt, Stefan Sylvius Wagner, Marc Ziegele, Lena Wilms, Anke Stoll, Dominique Heinbach, Stefan Harmeling
AQuA - Combining Experts' and Non-Experts' Views To Assess Deliberation Quality in Online Discussions Using LLMs. CoRR (2024)
Hendryk Weiland, Maike Behrendt, Stefan Harmeling
Automatic Dictionary Generation: Could Brothers Grimm Create a Dictionary with BERT? KONVENS (2023)
Stefan Sylvius Wagner, Peter Arndt, Jan Robine, Stefan Harmeling
Cyclophobic Reinforcement Learning. CoRR (2023)
Thomas Germer, Jan Robine, Sebastian Konietzny, Stefan Harmeling, Tobias Uelwer
Limited-Angle Tomography Reconstruction via Deep End-To-End Learning on Synthetic Data. CoRR (2023)
Stefan Sylvius Wagner, Peter Arndt, Jan Robine, Stefan Harmeling
Cyclophobic Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Tobias Uelwer, Jan Robine, Stefan Sylvius Wagner, Marc Höftmann, Eric Upschulte, Sebastian Konietzny, Maike Behrendt, Stefan Harmeling
A Survey on Self-Supervised Representation Learning. CoRR (2023)
Marc Höftmann, Jan Robine, Stefan Harmeling
Time-Myopic Go-Explore: Learning A State Representation for the Go-Explore Paradigm. CoRR (2023)
Jan Robine, Tobias Uelwer, Stefan Harmeling
Smaller World Models for Reinforcement Learning. Neural Process. Lett. 55 (8) (2023)
Jan Robine, Marc Höftmann, Tobias Uelwer, Stefan Harmeling
Transformer-based World Models Are Happy With 100k Interactions. ICLR (2023)
Marc Höftmann, Jan Robine, Stefan Harmeling
Backward Learning for Goal-Conditioned Policies. CoRR (2023)
Maximilian Kertel, Stefan Harmeling, Markus Pauly, Nadja Klein
Learning Causal Graphs in Manufacturing Domains Using Structural Equation Models. Int. J. Semantic Comput. 17 (4) (2023)
Jan Robine, Marc Höftmann, Tobias Uelwer, Stefan Harmeling
Transformer-based World Models Are Happy With 100k Interactions. CoRR (2023)
Maximilian Kertel, Stefan Harmeling, Markus Pauly
Learning Causal Graphs in Manufacturing Domains using Structural Equation Models. CoRR (2022)
Leonid Kostrykin, Stefan Harmeling
Blindly Deconvolving Super-noisy Blurry Image Sequences. CoRR (2022)
Thomas Germer, Tobias Uelwer, Stefan Harmeling
Deblurring Photographs of Characters Using Deep Neural Networks. CoRR (2022)
Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
Contour proposal networks for biomedical instance segmentation. Medical Image Anal. 77 (2022)
Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy Images. Cell Segmentation Challenge @ NeurIPS (2022)
Tobias Uelwer, Sebastian Konietzny, Stefan Harmeling
Optimizing Intermediate Representations of Generative Models for Phase Retrieval. CoRR (2022)
Maximilian Kertel, Stefan Harmeling, Markus Pauly
Learning Causal Graphs in Manufacturing Domains using Structural Equation Models. AI4I (2022)
Tobias Uelwer, Sebastian Konietzny, Stefan Harmeling
Optimizing Intermediate Representations of Generative Models for Phase Retrieval. Trans. Mach. Learn. Res. 2022 (2022)
Tobias Uelwer, Tobias Hoffmann, Stefan Harmeling
Non-iterative Phase Retrieval with Cascaded Neural Networks. ICANN (2) (2021)
Tobias Uelwer, Nick Rucks, Stefan Harmeling
A Closer Look at Reference Learning for Fourier Phase Retrieval. CoRR (2021)
Christian Schiffer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
Contrastive Representation Learning For Whole Brain Cytoarchitectonic Mapping In Histological Human Brain Sections. ISBI (2021)
Stefan Wagner, Michael Janschek, Tobias Uelwer, Stefan Harmeling
Learning to Plan via a Multi-Step Policy Regression Method. CoRR (2021)
Christian Schiffer, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks. MICCAI (8) (2021)
Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
Contour Proposal Networks for Biomedical Instance Segmentation. CoRR (2021)
Christian Schiffer, Hannah Spitzer, Kai Kiwitz, Nina Unger, Konrad Wagstyl, Alan C. Evans, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
Convolutional neural networks for cytoarchitectonic brain mapping at large scale. NeuroImage 240 (2021)
Stefan Wagner, Michael Janschek, Tobias Uelwer, Stefan Harmeling
Learning to Plan via a Multi-step Policy Regression Method. ICANN (4) (2021)
Christian Schiffer, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
2D histology meets 3D topology: Cytoarchitectonic brain mapping with Graph Neural Networks. CoRR (2021)
Markus Brenneis, Maike Behrendt, Stefan Harmeling
How Will I Argue? A Dataset for Evaluating Recommender Systems for Argumentations. SIGDIAL (2021)
Tobias Uelwer, Tobias Hoffmann, Stefan Harmeling
Non-Iterative Phase Retrieval With Cascaded Neural Networks. CoRR (2021)
Jan Robine, Tobias Uelwer, Stefan Harmeling
Discrete Latent Space World Models for Reinforcement Learning. CoRR (2020)
Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling
Fast Multi-Level Foreground Estimation. ICPR (2020)
Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling
Fast Multi-Level Foreground Estimation. CoRR (2020)
Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling
PyMatting: A Python Library for Alpha Matting. J. Open Source Softw. 5 (54) (2020)
Tobias Uelwer, Alexander Oberstraß, Stefan Harmeling
Phase Retrieval Using Conditional Generative Adversarial Networks. ICPR (2020)
Christian Schiffer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
Contrastive Representation Learning for Whole Brain Cytoarchitectonic Mapping in Histological Human Brain Sections. CoRR (2020)
Felix Dangel, Stefan Harmeling, Philipp Hennig
Modular Block-diagonal Curvature Approximations for Feedforward Architectures. AISTATS (2020)
Markus Brenneis, Maike Behrendt, Stefan Harmeling, Martin Mauve
How Much Do I Argue Like You? Towards a Metric on Weighted Argumentation Graphs. SAFA@COMMA (2020)
Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling
PyMatting: A Python Library for Alpha Matting. CoRR (2020)
Christian Schiffer, Hannah Spitzer, Kai Kiwitz, Nina Unger, Konrad Wagstyl, Alan C. Evans, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale. CoRR (2020)
Tobias Uelwer, Alexander Oberstraß, Stefan Harmeling
Phase Retrieval using Conditional Generative Adversarial Networks. CoRR (2019)
Felix Michels, Tobias Uelwer, Eric Upschulte, Stefan Harmeling
On the Vulnerability of Capsule Networks to Adversarial Attacks. CoRR (2019)
Hannah Spitzer, Kai Kiwitz, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks. CoRR (2018)
Hannah Spitzer, Kai Kiwitz, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks. MICCAI (3) (2018)
Hannah Spitzer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
Parcellation of Visual Cortex on high-resolution histological Brain Sections using Convolutional Neural Networks. CoRR (2017)
Hannah Spitzer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
Parcellation of visual cortex on high-resolution histological brain sections using convolutional neural networks. ISBI (2017)
Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf
Learning to Deblur. IEEE Trans. Pattern Anal. Mach. Intell. 38 (7) (2016)
Bernhard Schölkopf, Krikamol Muandet, Kenji Fukumizu, Stefan Harmeling, Jonas Peters
Computing functions of random variables via reproducing kernel Hilbert space representations. Stat. Comput. 25 (4) (2015)
Rolf Köhler, Christian J. Schuler, Bernhard Schölkopf, Stefan Harmeling
Mask-Specific Inpainting with Deep Neural Networks. GCPR (2014)
Christoph H. Lampert, Hannes Nickisch, Stefan Harmeling
Attribute-Based Classification for Zero-Shot Visual Object Categorization. IEEE Trans. Pattern Anal. Mach. Intell. 36 (3) (2014)
Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf
Learning to Deblur. CoRR (2014)
Stefan Harmeling, Michael Hirsch, Bernhard Schölkopf
On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit. CVPR (2013)
Rolf Köhler, Michael Hirsch, Bernhard Schölkopf, Stefan Harmeling
Improving alpha matting and motion blurred foreground estimation. ICIP (2013)
Harold Christopher Burger, Christian J. Schuler, Stefan Harmeling
Learning How to Combine Internal and External Denoising Methods. GCPR (2013)
Moritz Grosse-Wentrup, Stefan Harmeling, Thorsten O. Zander, N. Jeremy Hill, Bernhard Schölkopf
How to Test the Quality of Reconstructed Sources in Independent Component Analysis (ICA) of EEG/MEG Data. PRNI (2013)
Christian J. Schuler, Harold Christopher Burger, Stefan Harmeling, Bernhard Schölkopf
A Machine Learning Approach for Non-blind Image Deconvolution. CVPR (2013)
Jakob Zscheischler, Miguel D. Mahecha, Stefan Harmeling, Markus Reichstein
Detection and attribution of large spatiotemporal extreme events in Earth observation data. Ecol. Informatics 15 (2013)
Jakob Zscheischler, Miguel D. Mahecha, Stefan Harmeling
Climate Classifications: the Value of Unsupervised Clustering. ICCS (2012)
Harold Christopher Burger, Christian J. Schuler, Stefan Harmeling
Image denoising with multi-layer perceptrons, part 2: training trade-offs and analysis of their mechanisms CoRR (2012)
Harold Christopher Burger, Christian J. Schuler, Stefan Harmeling
Image denoising: Can plain neural networks compete with BM3D? CVPR (2012)
Rolf Köhler, Michael Hirsch, Betty J. Mohler, Bernhard Schölkopf, Stefan Harmeling
Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database. ECCV (7) (2012)
Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf
Blind Correction of Optical Aberrations. ECCV (3) (2012)
Harold Christopher Burger, Christian J. Schuler, Stefan Harmeling
Image denoising with multi-layer perceptrons, part 1: comparison with existing algorithms and with bounds CoRR (2012)
Harold Christopher Burger, Bernhard Schölkopf, Stefan Harmeling
Removing noise from astronomical images using a pixel-specific noise model. ICCP (2011)
Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf
Non-stationary correction of optical aberrations. ICCV (2011)
Harold Christopher Burger, Stefan Harmeling
Improving Denoising Algorithms via a Multi-scale Meta-procedure. DAGM-Symposium (2011)
Alexander Loktyushin, Stefan Harmeling
Automatic foreground-background refocusing. ICIP (2011)
Michael Hirsch, Christian J. Schuler, Stefan Harmeling, Bernhard Schölkopf
Fast removal of non-uniform camera shake. ICCV (2011)
Stefan Harmeling, Christopher K. I. Williams
Greedy Learning of Binary Latent Trees. IEEE Trans. Pattern Anal. Mach. Intell. 33 (6) (2011)
Stefan Harmeling, Michael Hirsch, Bernhard Schölkopf
Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake. NIPS (2010)
David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller
How to Explain Individual Classification Decisions. J. Mach. Learn. Res. 11 (2010)
Stefan Harmeling, Suvrit Sra, Michael Hirsch, Bernhard Schölkopf
Multiframe blind deconvolution, super-resolution, and saturation correction via incremental EM. ICIP (2010)
Michael Hirsch, Suvrit Sra, Bernhard Schölkopf, Stefan Harmeling
Efficient filter flow for space-variant multiframe blind deconvolution. CVPR (2010)
David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller
How to Explain Individual Classification Decisions CoRR (2009)
Christoph H. Lampert, Hannes Nickisch, Stefan Harmeling
Learning to detect unseen object classes by between-class attribute transfer. CVPR (2009)
Stefan Harmeling
Inferring textual entailment with a probabilistically sound calculus. Nat. Lang. Eng. 15 (4) (2009)
Stefan Harmeling
An Extensible Probabilistic Transformation-based Approach to the Third Recognizing Textual Entailment Challenge. ACL-PASCAL@ACL (2007)
Stefan Harmeling, Guido Dornhege, David M. J. Tax, Frank C. Meinecke, Klaus-Robert Müller
From outliers to prototypes: Ordering data. Neurocomputing 69 (13-15) (2006)
Frank C. Meinecke, Stefan Harmeling, Klaus-Robert Müller
Inlier-based ICA with an application to superimposed images. Int. J. Imaging Syst. Technol. 15 (1) (2005)
Frank C. Meinecke, Stefan Harmeling, Klaus-Robert Müller
Robust ICA for Super-Gaussian Sources. ICA (2004)
Antti Honkela, Stefan Harmeling, Leo Lundqvist, Harri Valpola
Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method. ICA (2004)
Stefan Harmeling, Frank C. Meinecke, Klaus-Robert Müller
Injecting noise for analysing the stability of ICA components. Signal Process. 84 (2) (2004)
Erkki Oja, Stefan Harmeling, Luís B. Almeida
Independent component analysis and beyond. Signal Process. 84 (2) (2004)
Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling, Klaus-Robert Müller
Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation. J. Mach. Learn. Res. 4 (2003)
Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
Kernel-Based Nonlinear Blind Source Separation. Neural Comput. 15 (5) (2003)
Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
Kernel Feature Spaces and Nonlinear Blind Souce Separation. NIPS (2001)