Alexander S. Ecker

According to our database, Alexander S. Ecker authored at least 46 papers between 1986 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Hierarchical clustering with maximum density paths and mixture models.

Martin Ritzert, Polina Turishcheva, Laura Hansel, Paul Wollenhaupt, Marissa A. Weis, Alexander S. Ecker

CoRR, March, 2025

Detection transformer-based approach for mapping trees outside forests on high resolution satellite imagery.

Tao Jiang, Maximilian Freudenberg, Christoph Kleinn, Timo Lüddecke, Alexander S. Ecker, Nils Nölke

Ecol. Informatics, 2025

What should a neuron aim for? Designing local objective functions based on information theory.

Andreas Christian Schneider, Valentin Neuhaus, David Alexander Ehrlich, Abdullah Makkeh, Alexander S. Ecker, Viola Priesemann, Michael Wibral

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Probabilistic neural transfer function estimation with Bayesian system identification.

Nan Wu, Isabel Valera, Fabian H. Sinz, Alexander S. Ecker, Thomas Euler, Yongrong Qiu

PLoS Comput. Biol., 2024

Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks.

Santiago A. Cadena, Konstantin F. Willeke, Kelli Restivo, George H. Denfield, Fabian H. Sinz, Matthias Bethge, Andreas S. Tolias, Alexander S. Ecker

PLoS Comput. Biol., 2024

TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds.

Jonathan Henrich, Jan van Delden, Dominik Seidel, Thomas Kneib, Alexander S. Ecker

Ecol. Informatics, 2024

MNIST-Nd: a set of naturalistic datasets to benchmark clustering across dimensions.

Polina Turishcheva, Laura Hansel, Martin Ritzert, Marissa A. Weis, Alexander S. Ecker

CoRR, 2024

Computer Vision for Primate Behavior Analysis in the Wild.

Richard Vogg, Timo Lüddecke, Jonathan Henrich, Sharmita Dey, Matthias Nuske, Valentin Hassler, Derek Murphy, Julia Fischer, Julia Ostner, Oliver Schülke, Peter M. Kappeler, Claudia Fichtel, Alexander Gail, Stefan Treue, Hansjörg Scherberger, Florentin Wörgötter, Alexander S. Ecker

CoRR, 2024

Most discriminative stimuli for functional cell type identification.

Max F. Burg, Thomas Zenkel, Michaela Vystrcilová, Jonathan Oesterle, Larissa Höfling, Konstantin F. Willeke, Jan Lause, Sarah Müller, Paul G. Fahey, Zhiwei Ding, Kelli Restivo, Shashwat Sridhar, Tim Gollisch, Philipp Berens, Andreas S. Tolias, Thomas Euler, Matthias Bethge, Alexander S. Ecker

CoRR, 2024

Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos.

Polina Turishcheva, Paul G. Fahey, Michaela Vystrcilová, Laura Hansel, Rachel Froebe, Kayla Ponder, Yongrong Qiu, Konstantin Willeke, Mohammad Bashiri, Ruslan Baikulov, Yu Zhu, Lei Ma, Shan Yu, Tiejun Huang, Bryan Li, Wolf De Wulf, Nina Kudryashova, Matthias H. Hennig, Nathalie Rochefort, Arno Onken, Eric Y. Wang, Zhiwei Ding, Andreas S. Tolias, Fabian H. Sinz, Alexander S. Ecker

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Reproducibility of predictive networks for mouse visual cortex.

Polina Turishcheva, Max F. Burg, Fabian H. Sinz, Alexander S. Ecker

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Most discriminative stimuli for functional cell type clustering.

Max F. Burg, Thomas Zenkel, Michaela Vystrcilová, Jonathan Oesterle, Larissa Höfling, Konstantin F. Willeke, Jan Lause, Sarah Müller, Paul G. Fahey, Zhiwei Ding, Kelli Restivo, Shashwat Sridhar, Tim Gollisch, Philipp Berens, Andreas S. Tolias, Thomas Euler, Matthias Bethge, Alexander S. Ecker

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

The Impacts of Quality-Oriented Dataset Labeling on Tree Cover Segmentation Using U-Net: A Case Study in WorldView-3 Imagery.

Tao Jiang, Maximilian Freudenberg, Christoph Kleinn, Alexander S. Ecker, Nils Nölke

Remote. Sens., March, 2023

Self-Supervised Graph Representation Learning for Neuronal Morphologies.

Marissa A. Weis, Laura Pede, Timo Lüddecke, Alexander S. Ecker

Trans. Mach. Learn. Res., 2023

TreeLearn: A Comprehensive Deep Learning Method for Segmenting Individual Trees from Forest Point Clouds.

Jonathan Henrich, Jan van Delden, Dominik Seidel, Thomas Kneib, Alexander S. Ecker

CoRR, 2023

2022

The Sensorium competition on predicting large-scale mouse primary visual cortex activity.

Konstantin F. Willeke, Paul G. Fahey, Mohammad Bashiri, Laura Pede, Max F. Burg, Christoph Blessing, Santiago A. Cadena, Zhiwei Ding, Konstantin-Klemens Lurz, Kayla Ponder, Taliah Muhammad, Saumil S. Patel, Alexander S. Ecker, Andreas S. Tolias, Fabian H. Sinz

CoRR, 2022

Image Segmentation Using Text and Image Prompts.

Timo Lüddecke, Alexander S. Ecker

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Learning divisive normalization in primary visual cortex.

Max F. Burg, Santiago A. Cadena, George H. Denfield, Edgar Y. Walker, Andreas S. Tolias, Matthias Bethge, Alexander S. Ecker

PLoS Comput. Biol., 2021

Benchmarking Unsupervised Object Representations for Video Sequences.

Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker

J. Mach. Learn. Res., 2021

Self-supervised Representation Learning of Neuronal Morphologies.

Marissa A. Weis, Laura Pede, Timo Lüddecke, Alexander S. Ecker

CoRR, 2021

Prompt-Based Multi-Modal Image Segmentation.

Timo Lüddecke, Alexander S. Ecker

CoRR, 2021

Retrospective on the SENSORIUM 2022 competition.

Konstantin F. Willeke, Paul G. Fahey, Mohammad Bashiri, Laura Hansel, Christoph Blessing, Konstantin-Klemens Lurz, Max F. Burg, Santiago A. Cadena, Zhiwei Ding, Kayla Ponder, Taliah Muhammad, Saumil S. Patel, Kaiwen Deng, Yuanfang Guan, Yiqin Zhu, Kaiwen Xiao, Xiao Han, Simone Azeglio, Ulisse Ferrari, Peter Neri, Olivier Marre, Adrian Hoffmann, Kirill Fedyanin, Kirill Vishniakov, Maxim Panov, Subash Prakash, Kishan Naik, Kantharaju Narayanappa, Alexander S. Ecker, Andreas S. Tolias, Fabian H. Sinz

Proceedings of the NeurIPS 2022 Competition Track, 2021

Generalization in data-driven models of primary visual cortex.

Konstantin-Klemens Lurz, Mohammad Bashiri, Konstantin Willeke, Akshay Kumar Jagadish, Eric Wang, Edgar Y. Walker, Santiago A. Cadena, Taliah Muhammad, Erick Cobos, Andreas S. Tolias, Alexander S. Ecker, Fabian H. Sinz

Proceedings of the 9th International Conference on Learning Representations, 2021

The Role of Data for One-Shot Semantic Segmentation.

Timo Lüddecke, Alexander S. Ecker

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Assessing out-of-domain generalization for robust building damage detection.

Vitus Benson, Alexander S. Ecker

CoRR, 2020

Closing the Generalization Gap in One-Shot Object Detection.

Claudio Michaelis, Matthias Bethge, Alexander S. Ecker

CoRR, 2020

Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences.

Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker

CoRR, 2020

Rotation-invariant clustering of neuronal responses in primary visual cortex.

Ivan Ustyuzhaninov, Santiago A. Cadena, Emmanouil Froudarakis, Paul G. Fahey, Edgar Y. Walker, Erick Cobos, Jacob Reimer, Fabian H. Sinz, Andreas S. Tolias, Matthias Bethge, Alexander S. Ecker

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Deep convolutional models improve predictions of macaque V1 responses to natural images.

Santiago A. Cadena, George H. Denfield, Edgar Y. Walker, Leon A. Gatys, Andreas S. Tolias, Matthias Bethge, Alexander S. Ecker

PLoS Comput. Biol., 2019

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming.

Claudio Michaelis, Benjamin Mitzkus, Robert Geirhos, Evgenia Rusak, Oliver Bringmann, Alexander S. Ecker, Matthias Bethge, Wieland Brendel

CoRR, 2019

A rotation-equivariant convolutional neural network model of primary visual cortex.

Alexander S. Ecker, Fabian H. Sinz, Emmanouil Froudarakis, Paul G. Fahey, Santiago A. Cadena, Edgar Y. Walker, Erick Cobos, Jacob Reimer, Andreas S. Tolias, Matthias Bethge

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

One-Shot Instance Segmentation.

Claudio Michaelis, Ivan Ustyuzhaninov, Matthias Bethge, Alexander S. Ecker

CoRR, 2018

Stimulus domain transfer in recurrent models for large scale cortical population prediction on video.

Fabian H. Sinz, Alexander S. Ecker, Paul G. Fahey, Edgar Y. Walker, Erick Cobos, Emmanouil Froudarakis, Dimitri Yatsenko, Xaq Pitkow, Jacob Reimer, Andreas S. Tolias

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

One-Shot Segmentation in Clutter.

Claudio Michaelis, Matthias Bethge, Alexander S. Ecker

Proceedings of the 35th International Conference on Machine Learning, 2018

Diverse Feature Visualizations Reveal Invariances in Early Layers of Deep Neural Networks.

Santiago A. Cadena, Marissa A. Weis, Leon A. Gatys, Matthias Bethge, Alexander S. Ecker

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Synthesising Dynamic Textures using Convolutional Neural Networks.

Christina M. Funke, Leon A. Gatys, Alexander S. Ecker, Matthias Bethge

CoRR, 2017

Neural system identification for large populations separating "what" and "where".

David A. Klindt, Alexander S. Ecker, Thomas Euler, Matthias Bethge

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Controlling Perceptual Factors in Neural Style Transfer.

Leon A. Gatys, Alexander S. Ecker, Matthias Bethge, Aaron Hertzmann, Eli Shechtman

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Image Style Transfer Using Convolutional Neural Networks.

Leon A. Gatys, Alexander S. Ecker, Matthias Bethge

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Improved Estimation and Interpretation of Correlations in Neural Circuits.

Dimitri Yatsenko, Kresimir Josic, Alexander S. Ecker, Emmanouil Froudarakis, R. James Cotton, Andreas S. Tolias

PLoS Comput. Biol., 2015

A Neural Algorithm of Artistic Style.

Leon A. Gatys, Alexander S. Ecker, Matthias Bethge

CoRR, 2015

Texture synthesis and the controlled generation of natural stimuli using convolutional neural networks.

Leon A. Gatys, Alexander S. Ecker, Matthias Bethge

CoRR, 2015

Texture Synthesis Using Convolutional Neural Networks.

Leon A. Gatys, Alexander S. Ecker, Matthias Bethge

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2009

Generating Spike Trains with Specified Correlation Coefficients.

Jakob H. Macke, Philipp Berens, Alexander S. Ecker, Andreas S. Tolias, Matthias Bethge

Neural Comput., 2009

Neurometric function analysis of population codes.

Philipp Berens, Sebastian Gerwinn, Alexander S. Ecker, Matthias Bethge

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

1986

Check character systems.

Alexander S. Ecker, G. Poch

Computing, 1986