Nikolaos Gianniotis

According to our database, Nikolaos Gianniotis authored at least 17 papers between 2007 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Mixed Variational Inference.

Nikolaos Gianniotis

Proceedings of the International Joint Conference on Neural Networks, 2019

2017

Linear Dimensionality Reduction for Time Series.

Nikolaos Gianniotis

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Approximate variational inference based on a finite sample of Gaussian latent variables.

Nikolaos Gianniotis, Christoph Schnörr, Christian Molkenthin, Sanjay Singh Bora

Pattern Anal. Appl., 2016

Model-coupled autoencoder for time series visualisation.

Nikolaos Gianniotis, Sven Dennis Kügler, Peter Tiño, Kai Lars Polsterer

Neurocomputing, 2016

A spectral model for multimodal redshift estimation.

Sven Dennis Kügler, Nikolaos Gianniotis, Kai Lars Polsterer

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs.

Kai Lars Polsterer, Fabian Gieseke, Christian Igel, Bernd Doser, Nikolaos Gianniotis

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Autoencoding time series for visualisation.

Nikolaos Gianniotis, Sven Dennis Kügler, Peter Tiño, Kai Polsterer, Ranjeev Misra

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014

Manifold aligned ground motion prediction equations for regional datasets.

Nikolaos Gianniotis, Nicolas Kuehn, Frank Scherbaum

Comput. Geosci., 2014

2013

Visualisation of high-dimensional data using an ensemble of neural networks.

Nikolaos Gianniotis, Carsten Riggelsen

Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013

Interpretable magnification factors for topographic maps of high dimensional and structured data.

Nikolaos Gianniotis

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2012

Autoencoding Ground Motion Data for Visualisation.

Nikolaos Gianniotis, Carsten Riggelsen, Nicolas Kühn, Frank Scherbaum

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2009

Topographic Mapping of Astronomical Light Curves via a Physically Inspired Probabilistic Model.

Nikolaos Gianniotis, Peter Tiño, Steve Spreckley, Somak Raychaudhury

Proceedings of the Artificial Neural Networks, 2009

Visualization of Structured Data via Generative Probabilistic Modeling.

Nikolaos Gianniotis, Peter Tiño

Proceedings of the Similarity-Based Clustering, 2009

2008

Visualisation of structured data through generative probabilistic modeling.

Nikolaos Gianniotis

PhD thesis, 2008

Visualization of Tree-Structured Data Through Generative Topographic Mapping.

Nikolaos Gianniotis, Peter Tiño

IEEE Trans. Neural Networks, 2008

2007

Metric Properties of Structured Data Visualizations through Generative Probabilistic Modeling.

Peter Tiño, Nikolaos Gianniotis

Proceedings of the IJCAI 2007, 2007

Visualisation of tree-structured data through generative probabilistic modelling.

Nikolaos Gianniotis, Peter Tiño

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007