Fabian H. Sinz

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 25

Top Topics

Pose Estimation

Top Venues

Publications

Pawel A. Pierzchlewicz, Caio da Silva, R. James Cotton, Fabian H. Sinz
Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion Estimation. CoRR (2024)
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
Energy Guided Diffusion for Generating Neurally Exciting Images. NeurIPS (2023)
Konstantin-Klemens Lurz, Mohammad Bashiri, Edgar Y. Walker, Fabian H. Sinz
Bayesian Oracle for bounding information gain in neural encoding models. ICLR (2023)
Suhas Shrinivasan, Konstantin-Klemens Lurz, Kelli Restivo, George H. Denfield, Andreas S. Tolias, Edgar Y. Walker, Fabian H. Sinz
Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system. NeurIPS (2023)
Pawel A. Pierzchlewicz, Mohammad Bashiri, R. James Cotton, Fabian H. Sinz
Optimizing MPJPE promotes miscalibration in multi-hypothesis human pose lifting. Tiny Papers @ ICLR (2023)
Arne F. Nix, Max F. Burg, Fabian H. Sinz
HARD: Hard Augmentations for Robust Distillation. CoRR (2023)
Luca Baroni, Mohammad Bashiri, Konstantin F. Willeke, Ján Antolík, Fabian H. Sinz
Learning invariance manifolds of visual sensory neurons. NeurReps (2022)
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
The Sensorium competition on predicting large-scale mouse primary visual cortex activity. CoRR (2022)
Arne Nix, Suhas Shrinivasan, Edgar Y. Walker, Fabian H. Sinz
Can Functional Transfer Methods Capture Simple Inductive Biases? AISTATS (2022)
Pawel A. Pierzchlewicz, R. James Cotton, Mohammad Bashiri, Fabian H. Sinz
Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions. CoRR (2022)
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
Generalization in data-driven models of primary visual cortex. ICLR (2021)
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
Retrospective on the SENSORIUM 2022 competition. NeurIPS (Competition and Demos) (2021)
Mohammad Bashiri, Edgar Y. Walker, Konstantin-Klemens Lurz, Akshay Jagadish, Taliah Muhammad, Zhiwei Ding, Zhuokun Ding, Andreas S. Tolias, Fabian H. Sinz
A flow-based latent state generative model of neural population responses to natural images. NeurIPS (2021)
Shahd Safarani, Arne Nix, Konstantin Willeke, Santiago A. Cadena, Kelli Restivo, George H. Denfield, Andreas S. Tolias, Fabian H. Sinz
Towards robust vision by multi-task learning on monkey visual cortex. CoRR (2021)
Shahd Safarani, Arne Nix, Konstantin Willeke, Santiago A. Cadena, Kelli Restivo, George H. Denfield, Andreas S. Tolias, Fabian H. Sinz
Towards robust vision by multi-task learning on monkey visual cortex. NeurIPS (2021)
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
Rotation-invariant clustering of neuronal responses in primary visual cortex. ICLR (2020)
R. James Cotton, Fabian H. Sinz, Andreas S. Tolias
Factorized Neural Processes for Neural Processes: $K$-Shot Prediction of Neural Responses. CoRR (2020)
Ronald (James) Cotton, Fabian H. Sinz, Andreas S. Tolias
Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses. NeurIPS (2020)
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
A rotation-equivariant convolutional neural network model of primary visual cortex. ICLR (Poster) (2019)
Zhe Li, Wieland Brendel, Edgar Y. Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian H. Sinz, Xaq Pitkow, Andreas S. Tolias
Learning From Brains How to Regularize Machines. CoRR (2019)
Zhe Li, Wieland Brendel, Edgar Y. Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian H. Sinz, Zachary Pitkow, Andreas S. Tolias
Learning from brains how to regularize machines. NeurIPS (2019)
Fabian H. Sinz, Alexander S. Ecker, Paul G. Fahey, Edgar Y. Walker, Erick Cobos, Emmanouil Froudarakis, Dimitri Yatsenko, Zachary Pitkow, Jacob Reimer, Andreas S. Tolias
Stimulus domain transfer in recurrent models for large scale cortical population prediction on video. NeurIPS (2018)
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
A rotation-equivariant convolutional neural network model of primary visual cortex. CoRR (2018)
Mengye Ren, Renjie Liao, Raquel Urtasun, Fabian H. Sinz, Richard S. Zemel
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes. ICLR (Poster) (2017)
Mengye Ren, Renjie Liao, Raquel Urtasun, Fabian H. Sinz, Richard S. Zemel
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes. CoRR (2016)
Fabian H. Sinz, Matthias Bethge
Temporal Adaptation Enhances Efficient Contrast Gain Control on Natural Images. PLoS Comput. Biol. 9 (1) (2013)
Fabian H. Sinz, Matthias Bethge
What Is the Limit of Redundancy Reduction with Divisive Normalization? Neural Comput. 25 (11) (2013)
Fabian H. Sinz, Anna Stockl, Jan Grewe, Jan Benda
Least Informative Dimensions. NIPS (2013)
Lucas Theis, Sebastian Gerwinn, Fabian H. Sinz, Matthias Bethge
In All Likelihood, Deep Belief Is Not Enough. J. Mach. Learn. Res. 12 (2011)
Fabian H. Sinz, Matthias Bethge
-Nested Symmetric Distributions. J. Mach. Learn. Res. 11 (2010)
Lucas Theis, Sebastian Gerwinn, Fabian H. Sinz, Matthias Bethge
In All Likelihood, Deep Belief Is Not Enough CoRR (2010)
Jan Eichhorn, Fabian H. Sinz, Matthias Bethge
Natural Image Coding in V1: How Much Use Is Orientation Selectivity? PLoS Comput. Biol. 5 (4) (2009)
Fabian H. Sinz, Eero P. Simoncelli, Matthias Bethge
Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions. NIPS (2009)
Fabian H. Sinz, Sebastian Gerwinn, Matthias Bethge
Characterization of the p-generalized normal distribution. J. Multivar. Anal. 100 (5) (2009)
Fabian H. Sinz, Matthias Bethge
The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction. NIPS (2008)
Fabian H. Sinz, Olivier Chapelle, Alekh Agarwal, Bernhard Schölkopf
An Analysis of Inference with the Universum. NIPS (2007)
Jason Weston, Ronan Collobert, Fabian H. Sinz, Léon Bottou, Vladimir Vapnik
Inference with the Universum. ICML (2006)
Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou
Trading convexity for scalability. ICML (2006)
Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou
Large Scale Transductive SVMs. J. Mach. Learn. Res. 7 (2006)
Joaquin Quiñonero Candela, Carl Edward Rasmussen, Fabian H. Sinz, Olivier Bousquet, Bernhard Schölkopf
Evaluating Predictive Uncertainty Challenge. MLCW (2005)
Dilan Görür, Carl Edward Rasmussen, Andreas S. Tolias, Fabian H. Sinz, Nikos K. Logothetis
Modelling Spikes with Mixtures of Factor Analysers. DAGM-Symposium (2004)
Fabian H. Sinz, Joaquin Quiñonero Candela, Gökhan H. Bakir, Carl Edward Rasmussen, Matthias O. Franz
Learning Depth from Stereo. DAGM-Symposium (2004)