Fabian H. Sinz

Orcid: 0000-0002-1348-9736

Affiliations:
  • University of Tübingen, Institute for Neurobiology, Germany
  • Max Planck Institute for Biological Cybernetics, Tübingen, Germany


According to our database1, Fabian H. Sinz authored at least 40 papers between 2004 and 2024.

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Bibliography

2024
Probabilistic neural transfer function estimation with Bayesian system identification.
PLoS Comput. Biol., 2024

Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks.
PLoS Comput. Biol., 2024

Modeling dynamic neural activity by combining naturalistic video stimuli and stimulus-independent latent factors.
CoRR, 2024

Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion Estimation.
CoRR, 2024

2023
HARD: Hard Augmentations for Robust Distillation.
CoRR, 2023

Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Energy Guided Diffusion for Generating Neurally Exciting Images.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimizing MPJPE promotes miscalibration in multi-hypothesis human pose lifting.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Bayesian Oracle for bounding information gain in neural encoding models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions.
CoRR, 2022

The Sensorium competition on predicting large-scale mouse primary visual cortex activity.
CoRR, 2022

Learning invariance manifolds of visual sensory neurons.
Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022

Can Functional Transfer Methods Capture Simple Inductive Biases?
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Towards robust vision by multi-task learning on monkey visual cortex.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A flow-based latent state generative model of neural population responses to natural images.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Generalization in data-driven models of primary visual cortex.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Rotation-invariant clustering of neuronal responses in primary visual cortex.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Learning from brains how to regularize machines.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A rotation-equivariant convolutional neural network model of primary visual cortex.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Stimulus domain transfer in recurrent models for large scale cortical population prediction on video.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes.
Proceedings of the 5th International Conference on Learning Representations, 2017

2013
Temporal Adaptation Enhances Efficient Contrast Gain Control on Natural Images.
PLoS Comput. Biol., 2013

What Is the Limit of Redundancy Reduction with Divisive Normalization?
Neural Comput., 2013

Least Informative Dimensions.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
Orientation Selectivity and Contrast Gain Control in Representations of Natural Images (Orientierungsselektivität und Kontrastverstärkungsregelung in Repräsentationen von natürlichen Bildern)
PhD thesis, 2012

2011
In All Likelihood, Deep Belief Is Not Enough.
J. Mach. Learn. Res., 2011

2010
<i>L<sub>p</sub></i>-Nested Symmetric Distributions.
J. Mach. Learn. Res., 2010

2009
Natural Image Coding in V1: How Much Use Is Orientation Selectivity?
PLoS Comput. Biol., 2009

Characterization of the p-generalized normal distribution.
J. Multivar. Anal., 2009

Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008
The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
An Analysis of Inference with the Universum.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
Large Scale Transductive SVMs.
J. Mach. Learn. Res., 2006

Inference with the Universum.
Proceedings of the Machine Learning, 2006

Trading convexity for scalability.
Proceedings of the Machine Learning, 2006

2005
Evaluating Predictive Uncertainty Challenge.
Proceedings of the Machine Learning Challenges, 2005

2004
Learning Depth from Stereo.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

Modelling Spikes with Mixtures of Factor Analysers.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004


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