Botond Cseke
Botond Cseke
Volkswagen Data Lab
Verified email at volkswagen.de
Title
Cited by
Cited by
Year
f-gan: Training generative neural samplers using variational divergence minimization
S Nowozin, B Cseke, R Tomioka
Advances in neural information processing systems, 271-279, 2016
5862016
Efficient Bayesian multivariate fMRI analysis using a sparsifying spatio-temporal prior
MAJ Van Gerven, B Cseke, FP De Lange, T Heskes
NeuroImage 50 (1), 150-161, 2010
922010
Network of epistatic interactions within a yeast snoRNA
O Puchta, B Cseke, H Czaja, D Tollervey, G Sanguinetti, G Kudla
Science 352 (6287), 840-844, 2016
622016
Approximate marginals in latent Gaussian models
B Cseke, T Heskes
Journal of Machine Learning Research 12 (Feb), 417-454, 2011
542011
Bayesian source localization with the multivariate Laplace prior
MV Gerven, B Cseke, R Oostenveld, T Heskes
Advances in Neural Information Processing Systems, 1901-1909, 2009
482009
MMDiff: quantitative testing for shape changes in ChIP-Seq data sets
G Schweikert, B Cseke, T Clouaire, A Bird, G Sanguinetti
BMC genomics 14 (1), 826, 2013
352013
Approximate inference in latent Gaussian-Markov models from continuous time observations
B Cseke, M Opper, G Sanguinetti
Advances in Neural Information Processing Systems, 971-979, 2013
152013
Properties of Bethe free energies and message passing in Gaussian models
B Cseke, T Heskes
Journal of Artificial Intelligence Research 41, 1-24, 2011
132011
Improving posterior marginal approximations in latent Gaussian models
B Cseke, T Heskes
Proceedings of the Thirteenth International Conference on Artificial …, 2010
122010
Efficient low-order approximation of first-passage time distributions
D Schnoerr, B Cseke, R Grima, G Sanguinetti
Physical review letters 119 (21), 210601, 2017
112017
Expectation propagation for continuous time stochastic processes
B Cseke, D Schnoerr, M Opper, G Sanguinetti
Journal of Physics A: Mathematical and Theoretical 49 (49), 494002, 2016
112016
Sparse approximate inference for spatio-temporal point process models
B Cseke, A Zammit-Mangion, T Heskes, G Sanguinetti
Journal of the American Statistical Association 111 (516), 1746-1763, 2016
82016
Kernel principal component ranking: Robust ranking on noisy data
E Tsivtsivadze, B Cseke, TM Heskes
[Sl]: Pascal Lecture Series, 2009
42009
Learning Hierarchical Priors in VAEs
A Klushyn, N Chen, R Kurle, B Cseke, P van der Smagt
Advances in Neural Information Processing Systems, 2866-2875, 2019
32019
Approximate marginals in latent Gaussian models
B Cseke, T Heskes
22010
Increasing the Generalisaton Capacity of Conditional VAEs
A Klushyn, N Chen, B Cseke, J Bayer, P van der Smagt
International Conference on Artificial Neural Networks, 779-791, 2019
2019
Factored expectation propagation for input-output FHMM models in systems biology
B Cseke, G Sanguinetti
arXiv preprint arXiv:1305.4153, 2013
2013
Variational algorithms for Bayesian inference in latent Gaussian models
B Cseke
[Sl: sn], 2011
2011
Discussion of``Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations''by H. Rue, S. Martino and N. Chopin
TM Heskes, B Cseke
Journal of the Royal Statistical Society Series B 71, 370-370, 2009
2009
MULTI-CLASS INFERENCE WITH GAUSSIAN PROCESSES
B Cseke, L Csato
STUDIA UNIVERSITATIS BABES-BOLYAI MATHEMATICA 50 (3), 81-96, 2005
2005
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Articles 1–20