Modelling Spikes with Mixtures of Factor Analysers. - Dilan Görür; Carl Edward Rasmussen; Andreas S. Tolias; Fabian H. Sinz; Nikos K. Logothetis (DAGM-Symposium, 2004)

Learning Depth from Stereo. - Fabian H. Sinz; Joaquin Quiñonero Candela; Gökhan H. Bakir; Carl Edward Rasmussen; Matthias O. Franz (DAGM-Symposium, 2004)

Evaluating Predictive Uncertainty Challenge. - Joaquin Quiñonero Candela; Carl Edward Rasmussen; Fabian H. Sinz; Olivier Bousquet; Bernhard Schölkopf (MLCW, 2005)

Trading convexity for scalability. - Ronan Collobert; Fabian H. Sinz; Jason Weston; Léon Bottou (ICML, 2006)

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

Large Scale Transductive SVMs. - Ronan Collobert; Fabian H. Sinz; Jason Weston; Léon Bottou (J. Mach. Learn. Res., 2006)

An Analysis of Inference with the Universum. - Fabian H. Sinz; Olivier Chapelle; Alekh Agarwal; Bernhard Schölkopf (NIPS, 2007)

The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction. - Fabian H. Sinz; Matthias Bethge (NIPS, 2008)

Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions. - Fabian H. Sinz; Eero P. Simoncelli; Matthias Bethge (NIPS, 2009)

Characterization of the p-generalized normal distribution. - Fabian H. Sinz; Sebastian Gerwinn; Matthias Bethge (J. Multivar. Anal., 2009)

Natural Image Coding in V1: How Much Use Is Orientation Selectivity? - Jan Eichhorn; Fabian H. Sinz; Matthias Bethge (PLoS Comput. Biol., 2009)

Lp-Nested Symmetric Distributions. - Fabian H. Sinz; Matthias Bethge (J. Mach. Learn. Res., 2010)

In All Likelihood, Deep Belief Is Not Enough. - Lucas Theis; Sebastian Gerwinn; Fabian H. Sinz; Matthias Bethge (J. Mach. Learn. Res., 2011)

Orientation Selectivity and Contrast Gain Control in Representations of Natural Images (Orientierungsselektivität und Kontrastverstärkungsregelung in Repräsentationen von natürlichen Bildern) - Fabian H. Sinz (2012)

Least Informative Dimensions. - Fabian H. Sinz; Anna Stockl; Jan Grewe; Jan Benda (NIPS, 2013)

What Is the Limit of Redundancy Reduction with Divisive Normalization? - Fabian H. Sinz; Matthias Bethge (Neural Comput., 2013)

Temporal Adaptation Enhances Efficient Contrast Gain Control on Natural Images. - Fabian H. Sinz; Matthias Bethge (PLoS Comput. Biol., 2013)

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

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)

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)

Learning from brains how to regularize machines. - Zhe Li 002; Wieland Brendel; Edgar Y. Walker; Erick Cobos; Taliah Muhammad; Jacob Reimer; Matthias Bethge; Fabian H. Sinz; Xaq Pitkow; Andreas S. Tolias (NeurIPS, 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)

Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses. - R. James Cotton; Fabian H. Sinz; Andreas S. Tolias (NeurIPS, 2020)

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)

A flow-based latent state generative model of neural population responses to natural images. - Mohammad Bashiri; Edgar Y. Walker; Konstantin-Klemens Lurz; Akshay Kumar Jagadish; Taliah Muhammad; Zhiwei Ding; Zhuokun Ding; Andreas S. Tolias; Fabian H. Sinz (NeurIPS, 2021)

Towards robust vision by multi-task learning on monkey visual cortex. - Shahd Safarani; Arne Nix; Konstantin Willeke; Santiago A. Cadena; Kelli Restivo; George H. Denfield; Andreas S. Tolias; Fabian H. Sinz (NeurIPS, 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)

Can Functional Transfer Methods Capture Simple Inductive Biases? - Arne Nix; Suhas Shrinivasan; Edgar Y. Walker; Fabian H. Sinz (AISTATS, 2022)

Learning invariance manifolds of visual sensory neurons. - Luca Baroni; Mohammad Bashiri; Konstantin F. Willeke; Ján Antolík; Fabian H. Sinz (NeurReps, 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)

Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions. - Pawel A. Pierzchlewicz; R. James Cotton; Mohammad Bashiri; Fabian H. Sinz (CoRR, 2022)

Bayesian Oracle for bounding information gain in neural encoding models. - Konstantin-Klemens Lurz; Mohammad Bashiri; Edgar Y. Walker; Fabian H. Sinz (ICLR, 2023)

Optimizing MPJPE promotes miscalibration in multi-hypothesis human pose lifting. - Pawel A. Pierzchlewicz; Mohammad Bashiri; R. James Cotton; Fabian H. Sinz (Tiny Papers @ ICLR, 2023)

Energy Guided Diffusion for Generating Neurally Exciting Images. - Pawel A. Pierzchlewicz; Konstantin Willeke; Arne Nix; Pavithra Elumalai; Kelli Restivo; Tori Shinn; Cate Nealley; Gabrielle Rodriguez; Saumil S. Patel; Katrin Franke; Andreas S. 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 H. Denfield; Andreas S. Tolias; Edgar Y. Walker; Fabian H. Sinz (NeurIPS, 2023)

HARD: Hard Augmentations for Robust Distillation. - Arne F. Nix; Max F. Burg; Fabian H. Sinz (CoRR, 2023)

Adversarial Distribution Balancing for Counterfactual Reasoning. - Stefan Schrod; Fabian H. Sinz; Michael Altenbuchinger (CoRR, 2023)

Data Augmentation for Mask-Based Leaf Segmentation of UAV-Images as a Basis to Extract Leaf-Based Phenotyping Parameters. - Abel Barreto; Lasse Reifenrath; Richard Vogg; Fabian H. Sinz; Anne-Katrin Mahlein (Künstliche Intell., 2023)

RESIST: Remapping EIT Signals Using Implicit Spatially-Aware Transformer. - Dominik Becker; Anita Just; Günter Hahn; Peter Herrmann; Leif Saager; Fabian H. Sinz (ML4H@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 Vystrcilová; Laura Hansel; Rachel Froebe; Kayla Ponder; Yongrong Qiu; Konstantin Willeke; Mohammad Bashiri; Ruslan Baikulov; Yu Zhu; Lei Ma 008; et al. (NeurIPS, 2024)

Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion Estimation. - Pawel A. Pierzchlewicz; Caio da Silva; R. James Cotton; Fabian H. Sinz (CoRR, 2024)

Modeling dynamic neural activity by combining naturalistic video stimuli and stimulus-independent latent factors. - Finn Schmidt; Suhas Shrinivasan; Polina Turishcheva; Fabian H. Sinz (CoRR, 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)

Learning and aligning single-neuron invariance manifolds in visual cortex. - Mohammad Bashiri; Luca Baroni; Ján Antolík; Fabian H. Sinz (ICLR, 2025)

Biomechanical Reconstruction with Confidence Intervals from Multiview Markerless Motion Capture. - R. James Cotton; Fabian H. Sinz (CoRR, 2025)

Similarity as Reward Alignment: Robust and Versatile Preference-based Reinforcement Learning. - Sara Rajaram; R. James Cotton; Fabian H. Sinz (CoRR, 2025)