Sinz, Fabian H.

26 publications

ICLR 2025 Learning and Aligning Single-Neuron Invariance Manifolds in Visual Cortex Mohammad Bashiri, Luca Baroni, Ján Antolík, Fabian H. Sinz

NeurIPS 2025 Modeling Dynamic Neural Activity by Combining Naturalistic Video Stimuli and Stimulus-Independent Latent Factors Finn Schmidt, Polina Turishcheva, Suhas Shrinivasan, Fabian H. Sinz

NeurIPS 2025 TRACE: Contrastive Learning for Multi-Trial Time Series Data in Neuroscience Lisa Schmors, Dominic Gonschorek, Jan Niklas Böhm, Yongrong Qiu, Na Zhou, Dmitry Kobak, Andreas S. Tolias, Fabian H. Sinz, Jacob Reimer, Katrin Franke, Sebastian Damrich, Philipp Berens

NeurIPSW 2024 Modeling Dynamic Neural Activity by Combining Naturalistic Video Stimuli and Stimulus-Independent Latent Factors Finn Schmidt, Suhas Shrinivasan, Polina Turishcheva, Fabian H. Sinz

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 Towards Zero-Shot Adaptation of Predictive Models of Neurons Encoding Posterior Probability Suhas Shrinivasan, Ralf M Haefner, Fabian H. Sinz, Edgar Y. Walker

ICLR 2023 Bayesian Oracle for Bounding Information Gain in Neural Encoding Models Konstantin-Klemens Lurz, Mohammad Bashiri, Edgar Y. Walker, Fabian H. Sinz

NeurIPS 2023 Energy Guided Diffusion for Generating Neurally Exciting Images Pawel Pierzchlewicz, Konstantin Willeke, Arne Nix, Pavithra Elumalai, Kelli Restivo, Tori Shinn, Cate Nealley, Gabrielle Rodriguez, Saumil Patel, Katrin Franke, Andreas Tolias, Fabian H. Sinz

NeurIPS 2023 Taking the Neural Sampling Code Very Seriously: A Data-Driven Approach for Evaluating Generative Models of the Visual System Suhas Shrinivasan, Konstantin-Klemens Lurz, Kelli Restivo, George Denfield, Andreas Tolias, Edgar Walker, Fabian H. Sinz

NeurIPSW 2022 Bayesian Oracle for Bounding Information Gain in Neural Encoding Models Konstantin-Klemens Lurz, Mohammad Bashiri, Fabian H. Sinz

NeurIPSW 2022 Leading by Example: Guiding Knowledge Transfer with Adversarial Data Augmentation Arne Nix, Max F Burg, Fabian H. Sinz

NeurIPSW 2022 Learning Invariance Manifolds of Visual Sensory Neurons Luca Baroni, Mohammad Bashiri, Konstantin Friedrich Willeke, Ján Antolík, Fabian H. Sinz

NeurIPS 2021 A Flow-Based Latent State Generative Model of Neural Population Responses to Natural Images Mohammad Bashiri, Edgar Walker, Konstantin-Klemens Lurz, Akshay Jagadish, Taliah Muhammad, Zhiwei Ding, Zhuokun Ding, Andreas Tolias, Fabian H. Sinz

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

NeurIPS 2021 Towards Robust Vision by Multi-Task Learning on Monkey Visual Cortex Shahd Safarani, Arne Nix, Konstantin Willeke, Santiago Cadena, Kelli Restivo, George Denfield, Andreas Tolias, Fabian H. Sinz

NeurIPS 2020 Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses Ronald Cotton, Fabian H. Sinz, Andreas Tolias

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

ICLR 2017 Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes Mengye Ren, Renjie Liao, Raquel Urtasun, Fabian H. Sinz, Richard S. Zemel

NeurIPS 2009 Hierarchical Modeling of Local Image Features Through $L_p$-Nested Symmetric Distributions Matthias Bethge, Eero P. Simoncelli, Fabian H. Sinz

NeurIPS 2008 The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction Fabian H. Sinz, Matthias Bethge

NeurIPS 2007 An Analysis of Inference with the Universum Olivier Chapelle, Alekh Agarwal, Fabian H. Sinz, Bernhard Schölkopf

ICML 2006 Inference with the Universum Jason Weston, Ronan Collobert, Fabian H. Sinz, Léon Bottou, Vladimir Vapnik

ICML 2006 Trading Convexity for Scalability Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou