Botond Cseke | DeepAI

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Featured Co-authors

Patrick van der Smagt
45 publications
Tom Heskes
38 publications
Sebastian Nowozin
37 publications
Ryota Tomioka
32 publications
Manfred Opper
31 publications
Andrew Zammit Mangion
25 publications
Justin Bayer
25 publications
Guido Sanguinetti
22 publications
Nutan Chen
11 publications
Alexej Klushyn
6 publications
Richard Kurle
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∙ 06/13/2022

Local distance preserving auto-encoders using Continuous k-Nearest Neighbours graphs

Auto-encoder models that preserve similarities in the data are a popular...

0 Nutan Chen, et al. ∙

∙ 01/29/2021

Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation

Versatile movement representations allow robots to learn new tasks and r...

0 Felix Frank, et al. ∙

∙ 08/23/2019

Increasing the Generalisaton Capacity of Conditional VAEs

We address the problem of one-to-many mappings in supervised learning, w...

21 Alexej Klushyn, et al. ∙

∙ 05/13/2019

Learning Hierarchical Priors in VAEs

We propose to learn a hierarchical prior in the context of variational a...

0 Alexej Klushyn, et al. ∙

∙ 06/01/2017

Efficient Low-Order Approximation of First-Passage Time Distributions

We consider the problem of computing first-passage time distributions fo...

0 David Schnoerr, et al. ∙

∙ 06/02/2016

f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization

Generative neural samplers are probabilistic models that implement sampl...

0 Sebastian Nowozin, et al. ∙

∙ 12/18/2015

Expectation propagation for continuous time stochastic processes

We consider the inverse problem of reconstructing the posterior measure ...

0 Botond Cseke, et al. ∙

∙ 01/16/2014

Properties of Bethe Free Energies and Message Passing in Gaussian Models

We address the problem of computing approximate marginals in Gaussian pr...

0 Botond Cseke, et al. ∙

∙ 05/17/2013

Factored expectation propagation for input-output FHMM models in systems biology

We consider the problem of joint modelling of metabolic signals and gene...

0 Botond Cseke, et al. ∙

∙ 05/17/2013

Sparse Approximate Inference for Spatio-Temporal Point Process Models

Spatio-temporal point process models play a central role in the analysis...

0 Botond Cseke, et al. ∙

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