Cseke, Botond

10 publications

NeurIPS 2021 Latent Matters: Learning Deep State-Space Models Alexej Klushyn, Richard Kurle, Maximilian Soelch, Botond Cseke, Patrick van der Smagt

ICLR 2020 Continual Learning with Bayesian Neural Networks for Non-Stationary Data Richard Kurle, Botond Cseke, Alexej Klushyn, Patrick van der Smagt, Stephan Günnemann

NeurIPS 2019 Learning Hierarchical Priors in VAEs Alexej Klushyn, Nutan Chen, Richard Kurle, Botond Cseke, Patrick van der Smagt

NeurIPS 2016 F-GAN: Training Generative Neural Samplers Using Variational Divergence Minimization Sebastian Nowozin, Botond Cseke, Ryota Tomioka

NeurIPS 2013 Approximate Inference in Latent Gaussian-Markov Models from Continuous Time Observations Botond Cseke, Manfred Opper, Guido Sanguinetti

JMLR 2011 Approximate Marginals in Latent Gaussian Models Botond Cseke, Tom Heskes

JAIR 2011 Properties of Bethe Free Energies and Message Passing in Gaussian Models Botond Cseke, Tom Heskes

AISTATS 2010 Improving Posterior Marginal Approximations in Latent Gaussian Models Botond Cseke, Tom Heskes

NeurIPS 2009 Bayesian Source Localization with the Multivariate Laplace Prior Marcel V. Gerven, Botond Cseke, Robert Oostenveld, Tom Heskes

UAI 2008 Bounds on the Bethe Free Energy for Gaussian Networks Botond Cseke, Tom Heskes