Stefan Harmeling

102 papers A* 11A 1B 7Misc 1Journal 60Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A survey on self-supervised methods for visual representation learning. Mach. Learn. Tobias Uelwer, Jan Robine, Stefan Sylvius Wagner, Marc Höftmann, Eric Upschulte, Sebastian Konietzny, Maike Behrendt, Stefan Harmeling
2025	J	`jnl`	DFCA: Decentralized Federated Clustering Algorithm. CoRR Jonas Kirch, Sebastian Becker, Tiago Koketsu Rodrigues, Stefan Harmeling
2025	J	`jnl`	MaxPoolBERT: Enhancing BERT Classification via Layer- and Token-Wise Aggregation. CoRR Maike Behrendt, Stefan Sylvius Wagner, Stefan Harmeling
2025	J	`jnl`	Natural Language Processing to Enhance Deliberation in Political Online Discussions: A Survey. CoRR Maike Behrendt, Stefan Sylvius Wagner, Carina Weinmann, Marike Bormann, Mira Warne, Stefan Harmeling
2025	J	`jnl`	Object-Aware DINO (Oh-A-Dino): Enhancing Self-Supervised Representations for Multi-Object Instance Retrieval. CoRR Stefan Sylvius Wagner, Stefan Harmeling
2025	A*	`conf`	Simple, Good, Fast: Self-Supervised World Models Free of Baggage. ICLR Jan Robine, Marc Höftmann, Stefan Harmeling
2025	J	`jnl`	Simple, Good, Fast: Self-Supervised World Models Free of Baggage. CoRR Jan Robine, Marc Höftmann, Stefan Harmeling
2025	A*	`conf`	The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions. ICLR Stefan Sylvius Wagner, Maike Behrendt, Marc Ziegele, Stefan Harmeling
2024	J	`jnl`	AQuA - Combining Experts' and Non-Experts' Views To Assess Deliberation Quality in Online Discussions Using LLMs. CoRR Maike Behrendt, Stefan Sylvius Wagner, Marc Ziegele, Lena Wilms, Anke Stoll, Dominique Heinbach, Stefan Harmeling
2024	A*	`conf`	Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations. ICML Stefan Sylvius Wagner, Stefan Harmeling
2024	J	`jnl`	Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations. CoRR Stefan Sylvius Wagner, Stefan Harmeling
2024	J	`jnl`	SQBC: Active Learning using LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions. CoRR Stefan Sylvius Wagner, Maike Behrendt, Marc Ziegele, Stefan Harmeling
2024	J	`jnl`	Supporting Online Discussions: Integrating AI Into the adhocracy+ Participation Platform To Enhance Deliberation. CoRR Maike Behrendt, Stefan Sylvius Wagner, Stefan Harmeling
2024	J	`jnl`	The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions. CoRR Stefan Sylvius Wagner, Maike Behrendt, Marc Ziegele, Stefan Harmeling
2023	J	`jnl`	A Survey on Self-Supervised Representation Learning. CoRR Tobias Uelwer, Jan Robine, Stefan Sylvius Wagner, Marc Höftmann, Eric Upschulte, Sebastian Konietzny, Maike Behrendt, Stefan Harmeling
2023	—	`conf`	Automatic Dictionary Generation: Could Brothers Grimm Create a Dictionary with BERT? KONVENS Hendryk Weiland, Maike Behrendt, Stefan Harmeling
2023	J	`jnl`	Backward Learning for Goal-Conditioned Policies. CoRR Marc Höftmann, Jan Robine, Stefan Harmeling
2023	J	`jnl`	Cyclophobic Reinforcement Learning. CoRR Stefan Sylvius Wagner, Peter Arndt, Jan Robine, Stefan Harmeling
2023	J	`jnl`	Cyclophobic Reinforcement Learning. Trans. Mach. Learn. Res. Stefan Sylvius Wagner, Peter Arndt, Jan Robine, Stefan Harmeling
2023	J	`jnl`	Learning Causal Graphs in Manufacturing Domains Using Structural Equation Models. Int. J. Semantic Comput. Maximilian Kertel, Stefan Harmeling, Markus Pauly, Nadja Klein
2023	J	`jnl`	Learning Conditional Generative Models for Phase Retrieval. J. Mach. Learn. Res. Tobias Uelwer, Sebastian Konietzny, Alexander Oberstraß, Stefan Harmeling
2023	J	`jnl`	Limited-Angle Tomography Reconstruction via Deep End-To-End Learning on Synthetic Data. CoRR Thomas Germer, Jan Robine, Sebastian Konietzny, Stefan Harmeling, Tobias Uelwer
2023	J	`jnl`	Smaller World Models for Reinforcement Learning. Neural Process. Lett. Jan Robine, Tobias Uelwer, Stefan Harmeling
2023	J	`jnl`	Time-Myopic Go-Explore: Learning A State Representation for the Go-Explore Paradigm. CoRR Marc Höftmann, Jan Robine, Stefan Harmeling
2023	A*	`conf`	Transformer-based World Models Are Happy With 100k Interactions. ICLR Jan Robine, Marc Höftmann, Tobias Uelwer, Stefan Harmeling
2023	J	`jnl`	Transformer-based World Models Are Happy With 100k Interactions. CoRR Jan Robine, Marc Höftmann, Tobias Uelwer, Stefan Harmeling
2022	J	`jnl`	Blindly Deconvolving Super-noisy Blurry Image Sequences. CoRR Leonid Kostrykin, Stefan Harmeling
2022	J	`jnl`	Contour proposal networks for biomedical instance segmentation. Medical Image Anal. Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
2022	J	`jnl`	Deblurring Photographs of Characters Using Deep Neural Networks. CoRR Thomas Germer, Tobias Uelwer, Stefan Harmeling
2022	—	`conf`	Learning Causal Graphs in Manufacturing Domains using Structural Equation Models. AI4I Maximilian Kertel, Stefan Harmeling, Markus Pauly
2022	J	`jnl`	Learning Causal Graphs in Manufacturing Domains using Structural Equation Models. CoRR Maximilian Kertel, Stefan Harmeling, Markus Pauly
2022	J	`jnl`	Optimizing Intermediate Representations of Generative Models for Phase Retrieval. CoRR Tobias Uelwer, Sebastian Konietzny, Stefan Harmeling
2022	J	`jnl`	Optimizing Intermediate Representations of Generative Models for Phase Retrieval. Trans. Mach. Learn. Res. Tobias Uelwer, Sebastian Konietzny, Stefan Harmeling
2022	—	`conf`	Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy Images. Cell Segmentation Challenge @ NeurIPS Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
2021	—	`conf`	2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks. MICCAI (8) Christian Schiffer, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
2021	J	`jnl`	2D histology meets 3D topology: Cytoarchitectonic brain mapping with Graph Neural Networks. CoRR Christian Schiffer, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
2021	J	`jnl`	A Closer Look at Reference Learning for Fourier Phase Retrieval. CoRR Tobias Uelwer, Nick Rucks, Stefan Harmeling
2021	J	`jnl`	Contour Proposal Networks for Biomedical Instance Segmentation. CoRR Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
2021	—	`conf`	Contrastive Representation Learning For Whole Brain Cytoarchitectonic Mapping In Histological Human Brain Sections. ISBI Christian Schiffer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
2021	J	`jnl`	Convolutional neural networks for cytoarchitectonic brain mapping at large scale. NeuroImage Christian Schiffer, Hannah Spitzer, Kai Kiwitz, Nina Unger, Konrad Wagstyl, Alan C. Evans, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
2021	B	`conf`	How Will I Argue? A Dataset for Evaluating Recommender Systems for Argumentations. SIGDIAL Markus Brenneis, Maike Behrendt, Stefan Harmeling
2021	J	`jnl`	Learning to Plan via a Multi-Step Policy Regression Method. CoRR Stefan Wagner, Michael Janschek, Tobias Uelwer, Stefan Harmeling
2021	—	`conf`	Learning to Plan via a Multi-step Policy Regression Method. ICANN (4) Stefan Wagner, Michael Janschek, Tobias Uelwer, Stefan Harmeling
2021	J	`jnl`	Non-Iterative Phase Retrieval With Cascaded Neural Networks. CoRR Tobias Uelwer, Tobias Hoffmann, Stefan Harmeling
2021	—	`conf`	Non-iterative Phase Retrieval with Cascaded Neural Networks. ICANN (2) Tobias Uelwer, Tobias Hoffmann, Stefan Harmeling
2020	J	`jnl`	Contrastive Representation Learning for Whole Brain Cytoarchitectonic Mapping in Histological Human Brain Sections. CoRR Christian Schiffer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
2020	J	`jnl`	Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale. CoRR Christian Schiffer, Hannah Spitzer, Kai Kiwitz, Nina Unger, Konrad Wagstyl, Alan C. Evans, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
2020	J	`jnl`	Discrete Latent Space World Models for Reinforcement Learning. CoRR Jan Robine, Tobias Uelwer, Stefan Harmeling
2020	B	`conf`	Fast Multi-Level Foreground Estimation. ICPR Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling
2020	J	`jnl`	Fast Multi-Level Foreground Estimation. CoRR Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling
2020	—	`conf`	How Much Do I Argue Like You? Towards a Metric on Weighted Argumentation Graphs. SAFA Markus Brenneis, Maike Behrendt, Stefan Harmeling, Martin Mauve
2020	A	`conf`	Modular Block-diagonal Curvature Approximations for Feedforward Architectures. AISTATS Felix Dangel, Stefan Harmeling, Philipp Hennig
2020	B	`conf`	Phase Retrieval Using Conditional Generative Adversarial Networks. ICPR Tobias Uelwer, Alexander Oberstraß, Stefan Harmeling
2020	J	`jnl`	PyMatting: A Python Library for Alpha Matting. CoRR Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling
2020	J	`jnl`	PyMatting: A Python Library for Alpha Matting. J. Open Source Softw. Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling
2019	J	`jnl`	On the Vulnerability of Capsule Networks to Adversarial Attacks. CoRR Felix Michels, Tobias Uelwer, Eric Upschulte, Stefan Harmeling
2019	J	`jnl`	Phase Retrieval using Conditional Generative Adversarial Networks. CoRR Tobias Uelwer, Alexander Oberstraß, Stefan Harmeling
2018	—	`conf`	Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks. MICCAI (3) Hannah Spitzer, Kai Kiwitz, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
2018	J	`jnl`	Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks. CoRR Hannah Spitzer, Kai Kiwitz, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
2017	J	`jnl`	Parcellation of Visual Cortex on high-resolution histological Brain Sections using Convolutional Neural Networks. CoRR Hannah Spitzer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
2017	—	`conf`	Parcellation of visual cortex on high-resolution histological brain sections using convolutional neural networks. ISBI Hannah Spitzer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
2016	J	`jnl`	Learning to Deblur. IEEE Trans. Pattern Anal. Mach. Intell. Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf
2015	J	`jnl`	Computing functions of random variables via reproducing kernel Hilbert space representations. Stat. Comput. Bernhard Schölkopf, Krikamol Muandet, Kenji Fukumizu, Stefan Harmeling, Jonas Peters
2014	J	`jnl`	Attribute-Based Classification for Zero-Shot Visual Object Categorization. IEEE Trans. Pattern Anal. Mach. Intell. Christoph H. Lampert, Hannes Nickisch, Stefan Harmeling
2014	J	`jnl`	Learning to Deblur. CoRR Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf
2014	—	`conf`	Mask-Specific Inpainting with Deep Neural Networks. GCPR Rolf Köhler, Christian J. Schuler, Bernhard Schölkopf, Stefan Harmeling
2013	A*	`conf`	A Machine Learning Approach for Non-blind Image Deconvolution. CVPR Christian J. Schuler, Harold Christopher Burger, Stefan Harmeling, Bernhard Schölkopf
2013	J	`jnl`	Detection and attribution of large spatiotemporal extreme events in Earth observation data. Ecol. Informatics Jakob Zscheischler, Miguel D. Mahecha, Stefan Harmeling, Markus Reichstein
2013	—	`conf`	How to Test the Quality of Reconstructed Sources in Independent Component Analysis (ICA) of EEG/MEG Data. PRNI Moritz Grosse-Wentrup, Stefan Harmeling, Thorsten O. Zander, N. Jeremy Hill, Bernhard Schölkopf
2013	B	`conf`	Improving alpha matting and motion blurred foreground estimation. ICIP Rolf Köhler, Michael Hirsch, Bernhard Schölkopf, Stefan Harmeling
2013	—	`conf`	Learning How to Combine Internal and External Denoising Methods. GCPR Harold Christopher Burger, Christian J. Schuler, Stefan Harmeling
2013	A*	`conf`	On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit. CVPR Stefan Harmeling, Michael Hirsch, Bernhard Schölkopf
2012	—	`conf`	Blind Correction of Optical Aberrations. ECCV (3) Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf
2012	Misc	`conf`	Climate Classifications: the Value of Unsupervised Clustering. ICCS Jakob Zscheischler, Miguel D. Mahecha, Stefan Harmeling
2012	J	`jnl`	Image denoising with multi-layer perceptrons, part 1: comparison with existing algorithms and with bounds CoRR Harold Christopher Burger, Christian J. Schuler, Stefan Harmeling
2012	J	`jnl`	Image denoising with multi-layer perceptrons, part 2: training trade-offs and analysis of their mechanisms CoRR Harold Christopher Burger, Christian J. Schuler, Stefan Harmeling
2012	A*	`conf`	Image denoising: Can plain neural networks compete with BM3D? CVPR Harold Christopher Burger, Christian J. Schuler, Stefan Harmeling
2012	—	`conf`	Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database. ECCV (7) Rolf Köhler, Michael Hirsch, Betty J. Mohler, Bernhard Schölkopf, Stefan Harmeling
2011	B	`conf`	Automatic foreground-background refocusing. ICIP Alexander Loktyushin, Stefan Harmeling
2011	A*	`conf`	Fast removal of non-uniform camera shake. ICCV Michael Hirsch, Christian J. Schuler, Stefan Harmeling, Bernhard Schölkopf
2011	J	`jnl`	Greedy Learning of Binary Latent Trees. IEEE Trans. Pattern Anal. Mach. Intell. Stefan Harmeling, Christopher K. I. Williams
2011	—	`conf`	Improving Denoising Algorithms via a Multi-scale Meta-procedure. DAGM-Symposium Harold Christopher Burger, Stefan Harmeling
2011	A*	`conf`	Non-stationary correction of optical aberrations. ICCV Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf
2011	B	`conf`	Removing noise from astronomical images using a pixel-specific noise model. ICCP Harold Christopher Burger, Bernhard Schölkopf, Stefan Harmeling
2010	A*	`conf`	Efficient filter flow for space-variant multiframe blind deconvolution. CVPR Michael Hirsch, Suvrit Sra, Bernhard Schölkopf, Stefan Harmeling
2010	J	`jnl`	How to Explain Individual Classification Decisions. J. Mach. Learn. Res. David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller
2010	B	`conf`	Multiframe blind deconvolution, super-resolution, and saturation correction via incremental EM. ICIP Stefan Harmeling, Suvrit Sra, Michael Hirsch, Bernhard Schölkopf
2010	—	`conf`	Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake. NIPS Stefan Harmeling, Michael Hirsch, Bernhard Schölkopf
2009	J	`jnl`	How to Explain Individual Classification Decisions CoRR David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller
2009	J	`jnl`	Inferring textual entailment with a probabilistically sound calculus. Nat. Lang. Eng. Stefan Harmeling
2009	A*	`conf`	Learning to detect unseen object classes by between-class attribute transfer. CVPR Christoph H. Lampert, Hannes Nickisch, Stefan Harmeling
2007	—	`conf`	An Extensible Probabilistic Transformation-based Approach to the Third Recognizing Textual Entailment Challenge. ACL-PASCAL@ACL Stefan Harmeling
2006	J	`jnl`	From outliers to prototypes: Ordering data. Neurocomputing Stefan Harmeling, Guido Dornhege, David M. J. Tax, Frank C. Meinecke, Klaus-Robert Müller
2005	—	`—`	Independent component analysis and beyond Stefan Harmeling
2005	J	`jnl`	Inlier-based ICA with an application to superimposed images. Int. J. Imaging Syst. Technol. Frank C. Meinecke, Stefan Harmeling, Klaus-Robert Müller
2004	J	`jnl`	Independent component analysis and beyond. Signal Process. Erkki Oja, Stefan Harmeling, Luís B. Almeida
2004	J	`jnl`	Injecting noise for analysing the stability of ICA components. Signal Process. Stefan Harmeling, Frank C. Meinecke, Klaus-Robert Müller
2004	—	`conf`	Robust ICA for Super-Gaussian Sources. ICA Frank C. Meinecke, Stefan Harmeling, Klaus-Robert Müller
2004	—	`conf`	Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method. ICA Antti Honkela, Stefan Harmeling, Leo Lundqvist, Harri Valpola
2003	J	`jnl`	Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation. J. Mach. Learn. Res. Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling, Klaus-Robert Müller
2003	J	`jnl`	Kernel-Based Nonlinear Blind Source Separation. Neural Comput. Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
2001	—	`conf`	Kernel Feature Spaces and Nonlinear Blind Souce Separation. NIPS Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller