Check character systems. - Alexander S. Ecker; G. Poch (Computing, 1986)

Neurometric function analysis of population codes. - Philipp Berens; Sebastian Gerwinn; Alexander S. Ecker; Matthias Bethge (NIPS, 2009)

Generating Spike Trains with Specified Correlation Coefficients. - Jakob H. Macke; Philipp Berens; Alexander S. Ecker; Andreas S. Tolias; Matthias Bethge (Neural Comput., 2009)

Texture Synthesis Using Convolutional Neural Networks. - Leon A. Gatys; Alexander S. Ecker; Matthias Bethge (NIPS, 2015)

Texture synthesis and the controlled generation of natural stimuli using convolutional neural networks. - Leon A. Gatys; Alexander S. Ecker; Matthias Bethge (CoRR, 2015)

A Neural Algorithm of Artistic Style. - Leon A. Gatys; Alexander S. Ecker; Matthias Bethge (CoRR, 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)

Image Style Transfer Using Convolutional Neural Networks. - Leon A. Gatys; Alexander S. Ecker; Matthias Bethge (CVPR, 2016)

Controlling Perceptual Factors in Neural Style Transfer. - Leon A. Gatys; Alexander S. Ecker; Matthias Bethge; Aaron Hertzmann; Eli Shechtman (CVPR, 2017)

Neural system identification for large populations separating "what" and "where". - David A. Klindt; Alexander S. Ecker; Thomas Euler; Matthias Bethge (NIPS, 2017)

Synthesising Dynamic Textures using Convolutional Neural Networks. - Christina M. Funke; Leon A. Gatys; Alexander S. Ecker; Matthias Bethge (CoRR, 2017)

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 (ECCV (12), 2018)

One-Shot Segmentation in Clutter. - Claudio Michaelis; Matthias Bethge; Alexander S. Ecker (ICML, 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 (NeurIPS, 2018)

One-Shot Instance Segmentation. - Claudio Michaelis; Ivan Ustyuzhaninov; Matthias Bethge; Alexander S. Ecker (CoRR, 2018)

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 (ICLR (Poster), 2019)

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming. - Claudio Michaelis; Benjamin Mitzkus; Robert Geirhos; Evgenia Rusak; Oliver Bringmann 001; Alexander S. Ecker; Matthias Bethge; Wieland Brendel (CoRR, 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)

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 (ICLR, 2020)

Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences. - Marissa A. Weis; Kashyap Chitta; Yash Sharma 001; Wieland Brendel; Matthias Bethge; Andreas Geiger 001; Alexander S. Ecker (CoRR, 2020)

Closing the Generalization Gap in One-Shot Object Detection. - Claudio Michaelis; Matthias Bethge; Alexander S. Ecker (CoRR, 2020)

Assessing out-of-domain generalization for robust building damage detection. - Vitus Benson; Alexander S. Ecker (CoRR, 2020)

The Role of Data for One-Shot Semantic Segmentation. - Timo Lüddecke; Alexander S. Ecker (CVPR Workshops, 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 (ICLR, 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; et al. (NeurIPS (Competition and Demos), 2021)

Prompt-Based Multi-Modal Image Segmentation. - Timo Lüddecke; Alexander S. Ecker (CoRR, 2021)

Self-supervised Representation Learning of Neuronal Morphologies. - Marissa A. Weis; Laura Pede; Timo Lüddecke; Alexander S. Ecker (CoRR, 2021)

Benchmarking Unsupervised Object Representations for Video Sequences. - Marissa A. Weis; Kashyap Chitta; Yash Sharma 001; Wieland Brendel; Matthias Bethge; Andreas Geiger 001; Alexander S. Ecker (J. Mach. Learn. Res., 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)

Image Segmentation Using Text and Image Prompts. - Timo Lüddecke; Alexander S. Ecker (CVPR, 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; et al. (CoRR, 2022)

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)

Self-Supervised Graph Representation Learning for Neuronal Morphologies. - Marissa A. Weis; Laura Pede; Timo Lüddecke; Alexander S. Ecker (Trans. Mach. Learn. Res., 2023)

The Impacts of Quality-Oriented Dataset Labeling on Tree Cover Segmentation Using U-Net: A Case Study in WorldView-3 Imagery. - Tao Jiang 039; Maximilian Freudenberg; Christoph Kleinn; Alexander S. Ecker; Nils Nölke (Remote. Sens., 2023)

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; et al. (ICLR, 2024)

Reproducibility of predictive networks for mouse visual cortex. - Polina Turishcheva; Max F. Burg; Fabian H. Sinz; Alexander S. Ecker (NeurIPS, 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 008; et al. (NeurIPS, 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; et al. (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; et al. (CoRR, 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)

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)

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)

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)

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 (ICLR, 2025)

Detection transformer-based approach for mapping trees outside forests on high resolution satellite imagery. - Tao Jiang 039; Maximilian Freudenberg; Christoph Kleinn; Timo Lüddecke; Alexander S. Ecker; Nils Nölke (Ecol. Informatics, 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, 2025)