Matthias Bethge

According to our database1, Matthias Bethge authored at least 79 papers between 1999 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Community-based benchmarking improves spike rate inference from two-photon calcium imaging data.
PLoS Computational Biology, 2018

A rotation-equivariant convolutional neural network model of primary visual cortex.
CoRR, 2018

Generalisation in humans and deep neural networks.
CoRR, 2018

Adversarial Vision Challenge.
CoRR, 2018

Diverse feature visualizations reveal invariances in early layers of deep neural networks.
CoRR, 2018

One-shot Texture Segmentation.
CoRR, 2018

Robust Perception through Analysis by Synthesis.
CoRR, 2018

Markerless tracking of user-defined features with deep learning.
CoRR, 2018

One-Shot Segmentation in Clutter.
CoRR, 2018

Trace your sources in large-scale data: one ring to find them all.
CoRR, 2018

One-Shot Segmentation in Clutter.
Proceedings of the 35th International Conference on Machine Learning, 2018

Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics.
Proceedings of the Computer Vision - ECCV 2018, 2018

Diverse Feature Visualizations Reveal Invariances in Early Layers of Deep Neural Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Signatures of criticality arise from random subsampling in simple population models.
PLoS Computational Biology, 2017

Guiding human gaze with convolutional neural networks.
CoRR, 2017

Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models.
CoRR, 2017

Neural system identification for large populations separating "what" and "where".
CoRR, 2017

Foolbox v0.8.0: A Python toolbox to benchmark the robustness of machine learning models.
CoRR, 2017

Saliency Benchmarking: Separating Models, Maps and Metrics.
CoRR, 2017

Comparing deep neural networks against humans: object recognition when the signal gets weaker.
CoRR, 2017

Synthesising Dynamic Textures using Convolutional Neural Networks.
CoRR, 2017

Comment on "Biologically inspired protection of deep networks from adversarial attacks".
CoRR, 2017

Neural system identification for large populations separating "what" and "where".
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Understanding Low- and High-Level Contributions to Fixation Prediction.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Methods and measurements to compare men against machines.
Proceedings of the Human Vision and Electronic Imaging 2017, Burlingame, CA, USA, 29 January 2017, 2017

Controlling Perceptual Factors in Neural Style Transfer.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
The functional diversity of retinal ganglion cells in the mouse.
Nature, 2016

Inference and mixture modeling with the Elliptical Gamma Distribution.
Computational Statistics & Data Analysis, 2016

Texture Synthesis Using Shallow Convolutional Networks with Random Filters.
CoRR, 2016

DeepGaze II: Reading fixations from deep features trained on object recognition.
CoRR, 2016

Controlling Perceptual Factors in Neural Style Transfer.
CoRR, 2016

Preserving Color in Neural Artistic Style Transfer.
CoRR, 2016

Image Style Transfer Using Convolutional Neural Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
A note on the evaluation of generative models.
CoRR, 2015

Generative Image Modeling Using Spatial LSTMs.
CoRR, 2015

A Generative Model of Natural Texture Surrogates.
CoRR, 2015

A Neural Algorithm of Artistic Style.
CoRR, 2015

Texture synthesis and the controlled generation of natural stimuli using convolutional neural networks.
CoRR, 2015

Generative Image Modeling Using Spatial LSTMs.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Texture Synthesis Using Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Data modeling with the elliptical gamma distribution.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Efficient Population Coding.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Slowness and Sparseness Have Diverging Effects on Complex Cell Learning.
PLoS Computational Biology, 2014

How close are we to understanding image-based saliency?
CoRR, 2014

Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet.
CoRR, 2014

2013
Beyond GLMs: A Generative Mixture Modeling Approach to Neural System Identification.
PLoS Computational Biology, 2013

Temporal Adaptation Enhances Efficient Contrast Gain Control on Natural Images.
PLoS Computational Biology, 2013

How Sensitive Is the Human Visual System to the Local Statistics of Natural Images?
PLoS Computational Biology, 2013

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

2012
A New Perceptual Bias Reveals Suboptimal Population Decoding of Sensory Responses.
PLoS Computational Biology, 2012

Training sparse natural image models with a fast Gibbs sampler of an extended state space.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Gaussian process methods for estimating cortical maps.
NeuroImage, 2011

In All Likelihood, Deep Belief Is Not Enough.
Journal of Machine Learning Research, 2011

Statistical Analysis of Multi-Cell Recordings: Linking Population Coding Models to Experimental Data.
Front. Comput. Neurosci., 2011

2010
Lp-Nested Symmetric Distributions.
Journal of Machine Learning Research, 2010

Bayesian inference for generalized linear models for spiking neurons.
Front. Comput. Neurosci., 2010

In All Likelihood, Deep Belief Is Not Enough
CoRR, 2010

Evaluating neuronal codes for inference using Fisher information.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
Natural Image Coding in V1: How Much Use Is Orientation Selectivity?
PLoS Computational Biology, 2009

Generating Spike Trains with Specified Correlation Coefficients.
Neural Computation, 2009

Characterization of the p-generalized normal distribution.
J. Multivariate Analysis, 2009

Bayesian population decoding of spiking neurons.
Front. Comput. Neurosci., 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

Bayesian estimation of orientation preference maps.
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

A joint maximum-entropy model for binary neural population patterns and continuous signals.
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

Neurometric function analysis of population codes.
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
Receptive Fields without Spike-Triggering.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Bayesian Inference for Spiking Neuron Models with a Sparsity Prior.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Near-Maximum Entropy Models for Binary Neural Representations of Natural Images.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

The independent components of natural images are perceptually dependent.
Proceedings of the Human Vision and Electronic Imaging XII, San Jose, CA, USA, January 29, 2007

Unsupervised learning of a steerable basis for invariant image representations.
Proceedings of the Human Vision and Electronic Imaging XII, San Jose, CA, USA, January 29, 2007

Bayesian Inference for Sparse Generalized Linear Models.
Proceedings of the Machine Learning: ECML 2007, 2007

2002
Optimal Short-Term Population Coding: When Fisher Information Fails.
Neural Computation, 2002

Population coding with unreliable spikes.
Neurocomputing, 2002

Binary Tuning is Optimal for Neural Rate Coding with High Temporal Resolution.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Synchronous inhibition as a mechanism for unbiased selective gain control.
Neurocomputing, 2001

Spike-frequency adaptation: Phenomenological model and experimental tests.
Neurocomputing, 2001

1999
Brief pauses as signals for degressing synapses.
Neurocomputing, 1999


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