Stefan Harmeling

CoRR, 2024

The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions.

[BibT_eX]

[DOI]

Marc Ziegele

CoRR, 2024

SQBC: Active Learning using LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions.

[BibT_eX]

[DOI]

Marc Ziegele

CoRR, 2024

AQuA - Combining Experts' and Non-Experts' Views To Assess Deliberation Quality in Online Discussions Using LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Smaller World Models for Reinforcement Learning.

[BibT_eX]

[DOI]

Neural Process. Lett., December, 2023

Learning Causal Graphs in Manufacturing Domains Using Structural Equation Models.

[BibT_eX]

[DOI]

Int. J. Semantic Comput., December, 2023

Cyclophobic Reinforcement Learning.

[BibT_eX]

[DOI]

Peter Arndt

Trans. Mach. Learn. Res., 2023

Learning Conditional Generative Models for Phase Retrieval.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

Backward Learning for Goal-Conditioned Policies.

[BibT_eX]

[DOI]

Marc Höftmann

CoRR, 2023

Limited-Angle Tomography Reconstruction via Deep End-To-End Learning on Synthetic Data.

[BibT_eX]

[DOI]

CoRR, 2023

A Survey on Self-Supervised Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Time-Myopic Go-Explore: Learning A State Representation for the Go-Explore Paradigm.

[BibT_eX]

[DOI]

Marc Höftmann

CoRR, 2023

Automatic Dictionary Generation: Could Brothers Grimm Create a Dictionary with BERT?

[BibT_eX]

[DOI]

Hendryk Weiland

Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023), 2023

Transformer-based World Models Are Happy With 100k Interactions.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Optimizing Intermediate Representations of Generative Models for Phase Retrieval.

[BibT_eX]

[DOI]

Sebastian Konietzny

Trans. Mach. Learn. Res., 2022

Contour proposal networks for biomedical instance segmentation.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

Blindly Deconvolving Super-noisy Blurry Image Sequences.

[BibT_eX]

[DOI]

Leonid Kostrykin

CoRR, 2022

Deblurring Photographs of Characters Using Deep Neural Networks.

[BibT_eX]

[DOI]

Thomas Germer

CoRR, 2022

Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy Images.

[BibT_eX]

[DOI]

Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images, 2022

Learning Causal Graphs in Manufacturing Domains using Structural Equation Models.

[BibT_eX]

[DOI]

Maximilian Kertel

Markus Pauly

Proceedings of the 5th International Conference on Artificial Intelligence for Industries, 2022

2021

Convolutional neural networks for cytoarchitectonic brain mapping at large scale.

[BibT_eX]

[DOI]

NeuroImage, 2021

A Closer Look at Reference Learning for Fourier Phase Retrieval.

[BibT_eX]

[DOI]

Nick Rucks

CoRR, 2021

How Will I Argue? A Dataset for Evaluating Recommender Systems for Argumentations.

[BibT_eX]

[DOI]

Markus Brenneis

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Contrastive Representation Learning For Whole Brain Cytoarchitectonic Mapping In Histological Human Brain Sections.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Learning to Plan via a Multi-step Policy Regression Method.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Non-iterative Phase Retrieval with Cascaded Neural Networks.

[BibT_eX]

[DOI]

Tobias Hoffmann

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

PyMatting: A Python Library for Alpha Matting.

[BibT_eX]

[DOI]

J. Open Source Softw., 2020

Discrete Latent Space World Models for Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Phase Retrieval Using Conditional Generative Adversarial Networks.

[BibT_eX]

[DOI]

Alexander Oberstraß

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Fast Multi-Level Foreground Estimation.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

How Much Do I Argue Like You? Towards a Metric on Weighted Argumentation Graphs.

[BibT_eX]

[DOI]

Proceedings of the Third International Workshop on Systems and Algorithms for Formal Argumentation co-located with the 8th International Conference on Computational Models of Argument (COMMA 2020), 2020

Modular Block-diagonal Curvature Approximations for Feedforward Architectures.

[BibT_eX]

[DOI]

Felix Dangel

Philipp Hennig

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

On the Vulnerability of Capsule Networks to Adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Parcellation of visual cortex on high-resolution histological brain sections using convolutional neural networks.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Learning to Deblur.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2016

2015

Computing functions of random variables via reproducing kernel Hilbert space representations.

[BibT_eX]

[DOI]

Stat. Comput., 2015

2014

Attribute-Based Classification for Zero-Shot Visual Object Categorization.

[BibT_eX]

[DOI]

Christoph H. Lampert

Hannes Nickisch

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Mask-Specific Inpainting with Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 36th German Conference, 2014

2013

Detection and attribution of large spatiotemporal extreme events in Earth observation data.

[BibT_eX]

[DOI]

Ecol. Informatics, 2013

How to Test the Quality of Reconstructed Sources in Independent Component Analysis (ICA) of EEG/MEG Data.

[BibT_eX]

[DOI]

Moritz Grosse-Wentrup

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Improving alpha matting and motion blurred foreground estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2013

Learning How to Combine Internal and External Denoising Methods.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 35th German Conference, 2013

A Machine Learning Approach for Non-blind Image Deconvolution.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit.

[BibT_eX]

[DOI]

Michael Hirsch

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Climate Classifications: the Value of Unsupervised Clustering.

[BibT_eX]

[DOI]

Jakob Zscheischler

Miguel D. Mahecha

Proceedings of the International Conference on Computational Science, 2012

Image denoising with multi-layer perceptrons, part 2: training trade-offs and analysis of their mechanisms

[BibT_eX]

[DOI]

CoRR, 2012

Image denoising with multi-layer perceptrons, part 1: comparison with existing algorithms and with bounds

[BibT_eX]

[DOI]

CoRR, 2012

Blind Correction of Optical Aberrations.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2012, 2012

Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2012, 2012

Image denoising: Can plain neural networks compete with BM3D?

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Greedy Learning of Binary Latent Trees.

[BibT_eX]

[DOI]

Christopher K. I. Williams

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Automatic foreground-background refocusing.

[BibT_eX]

[DOI]

Alexander Loktyushin

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Non-stationary correction of optical aberrations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2011

Fast removal of non-uniform camera shake.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2011

Removing noise from astronomical images using a pixel-specific noise model.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Conference on Computational Photography, 2011

Improving Denoising Algorithms via a Multi-scale Meta-procedure.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

2010

How to Explain Individual Classification Decisions.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2010

Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake.

[BibT_eX]

[DOI]

Michael Hirsch