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All publications by Lars Buesing
authors venues years



Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM)
Mijung Park, Wittawat Jitkrittum, Ahmad Qamar, Zoltan Szabo, Lars Buesing and Maneesh Sahani
Advances in Neural Information Processing Systems 28, 2015


Clustered factor analysis of multineuronal spike data
Lars Buesing, Timothy A. Machado, John P. Cunningham and Liam Paninski
Advances in Neural Information Processing Systems 27, 2014


Inferring neural population dynamics from multiple partial recordings of the same neural circuit
Srini Turaga, Lars Buesing, Adam M. Packer, Henry Dalgleish, Noah Pettit, Michael Hausser and Jakob Macke
Advances in Neural Information Processing Systems 26, 2013


Spectral learning of linear dynamics from generalised-linear observations with application to neural population data
Lars Buesing, Maneesh Sahani and Jakob H. Macke
Advances in Neural Information Processing Systems 25, 2012


Empirical models of spiking in neural populations
Jakob H. Macke, Lars Buesing, John P. Cunningham, Byron M. Yu, Krishna V. Shenoy and Maneesh Sahani
Advances in Neural Information Processing Systems 24, 2011


On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Benjamin Schrauwen, Lars Buesing and Robert A. Legenstein
Advances in Neural Information Processing Systems 21, 2008


Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons
Lars Buesing and Wolfgang Maass
Advances in Neural Information Processing Systems 20, 2007