Ecker, Alexander S.

23 publications

NeurIPS 2025 A Circular Argument: Does RoPE Need to Be Equivariant for Vision? Chase van de Geijn, Timo Lüddecke, Polina Turishcheva, Alexander S. Ecker

TMLR 2025 Characterizing Vision Backbones for Dense Prediction with Dense Attentive Probing Timo Lüddecke, Alexander S. Ecker

NeurIPS 2025 Learning to Cluster Neuronal Function Nina S. Nellen, Polina Turishcheva, Michaela Vystrčilová, Shashwat Sridhar, Tim Gollisch, Andreas S. Tolias, Alexander S. Ecker

ICLR 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

NeurIPSW 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

ICLR 2024 Most Discriminative Stimuli for Functional Cell Type Clustering Max F Burg, Thomas Zenkel, Michaela Vystrčilová, Jonathan Oesterle, Larissa Höfling, Konstantin Friedrich 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

NeurIPS 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 Vystrčilová, Laura Hansel, Rachel Froebe, Kayla Ponder, Yongrong Qiu, Konstantin F. Willeke, Mohammad Bashiri, Ruslan Baikulov, Yu Zhu, Lei Ma, Shan Yu, Tiejun Huang, Bryan M. Li, Wolf De Wulf, Nina Kudryashova, Matthias H. Hennig, Nathalie L. Rochefort, Arno Onken, Eric Wang, Zhiwei Ding, Andreas S. Tolias, Fabian H. Sinz, Alexander S. Ecker

NeurIPSW 2024 What Should a Neuron Aim for? Designing Local Objective Functions Based on Information Theory Andreas Christian Schneider, Valentin Neuhaus, David Alexander Ehrlich, Alexander S Ecker, Abdullah Makkeh, Viola Priesemann, Michael Wibral

TMLR 2023 Self-Supervised Graph Representation Learning for Neuronal Morphologies Marissa A. Weis, Laura Pede, Timo Lüddecke, Alexander S Ecker

JMLR 2021 Benchmarking Unsupervised Object Representations for Video Sequences Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker

ICLR 2021 Generalization in Data-Driven Models of Primary Visual Cortex Konstantin-Klemens Lurz, Mohammad Bashiri, Konstantin Willeke, Akshay Jagadish, Eric Wang, Edgar Y. Walker, Santiago A Cadena, Taliah Muhammad, Erick Cobos, Andreas S. Tolias, Alexander S Ecker, Fabian H. Sinz

CVPRW 2021 The Role of Data for One-Shot Semantic Segmentation Timo Lüddecke, Alexander S. Ecker

NeurIPSW 2020 CNNs Efficiently Learn Long-Range Dependencies Timo Lüddecke, Alexander S Ecker

ICLR 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

ICLR 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

NeurIPSW 2019 How Well Do Deep Neural Networks Trained on Object Recognition Characterize the Mouse Visual System? Santiago A. Cadena, Fabian H. Sinz, Taliah Muhammad, Emmanouil Froudarakis, Erick Cobos, Edgar Y. Walker, Jake Reimer, Matthias Bethge, Andreas Tolias, Alexander S. Ecker

ECCV 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

NeurIPS 2018 Stimulus Domain Transfer in Recurrent Models for Large Scale Cortical Population Prediction on Video Fabian Sinz, Alexander S Ecker, Paul Fahey, Edgar Walker, Erick Cobos, Emmanouil Froudarakis, Dimitri Yatsenko, Zachary Pitkow, Jacob Reimer, Andreas Tolias

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

NeurIPS 2017 Neural System Identification for Large Populations Separating “what” and “where” David Klindt, Alexander S Ecker, Thomas Euler, Matthias Bethge

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

NeurIPS 2015 Texture Synthesis Using Convolutional Neural Networks Leon Gatys, Alexander S Ecker, Matthias Bethge