Lars Buesing

According to our database1, Lars Buesing authored at least 21 papers between 2007 and 2018.

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Bibliography

2018
Learning and Querying Fast Generative Models for Reinforcement Learning.
CoRR, 2018

2017
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders.
CoRR, 2017

Imagination-Augmented Agents for Deep Reinforcement Learning.
CoRR, 2017

Learning model-based planning from scratch.
CoRR, 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

Imagination-Augmented Agents for Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM).
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

High-dimensional neural spike train analysis with generalized count linear dynamical systems.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Clustered factor analysis of multineuronal spike data.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity.
PLoS Computational Biology, 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
Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons.
PLoS Computational Biology, 2011

Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons.
PLoS Computational Biology, 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
Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons.
Neural Computation, 2010

A Spiking Neuron as Information Bottleneck.
Neural Computation, 2010

2008
Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression.
PLoS Computational Biology, 2008

On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories.
Neural Computation, 2007

Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007


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