# Jakob H. Macke

According to our database

Collaborative distances:

^{1}, Jakob H. Macke authored at least 27 papers between 2006 and 2019.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### Homepage:

#### On csauthors.net:

## Bibliography

2019

Automatic Posterior Transformation for Likelihood-Free Inference.

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Community-based benchmarking improves spike rate inference from two-photon calcium imaging data.

PLoS Computational Biology, 2018

Likelihood-free inference with emulator networks.

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2018

2017

Signatures of criticality arise from random subsampling in simple population models.

PLoS Computational Biology, 2017

Fast amortized inference of neural activity from calcium imaging data with variational autoencoders.

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations.

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Flexible statistical inference for mechanistic models of neural dynamics.

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015

Unlocking neural population non-stationarities using hierarchical dynamics models.

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Electrophysiology Analysis, Bayesian.

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

A Bayesian model for identifying hierarchically organised states in neural population activity.

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Low-dimensional models of neural population activity in sensory cortical circuits.

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Estimation Bias in Maximum Entropy Models.

Entropy, 2013

Inferring neural population dynamics from multiple partial recordings of the same neural circuit.

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

Spectral learning of linear dynamics from generalised-linear observations with application to neural population data.

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

Statistical Analysis of Multi-Cell Recordings: Linking Population Coding Models to Experimental Data.

Front. Comput. Neurosci., 2011

How biased are maximum entropy models?

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Empirical models of spiking in neural populations.

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Modeling Population Spike Trains with Specified Time-Varying Spike Rates, Trial-to-Trial Variability, and Pairwise Signal and Noise Correlations.

Front. Comput. Neurosci., 2010

Bayesian inference for generalized linear models for spiking neurons.

Front. Comput. Neurosci., 2010

2009

Generating Spike Trains with Specified Correlation Coefficients.

Neural Computation, 2009

Bayesian population decoding of spiking neurons.

Front. Comput. Neurosci., 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

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

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

2006

Inducing Metric Violations in Human Similarity Judgements.

Proceedings of the Advances in Neural Information Processing Systems 19, 2006