Nikolaos Gianniotis

21 papers A* 1B 4C 1Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2019 J jnl
Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables.
CoRR
Nikolaos Gianniotis, Christoph Schnörr, Christian Molkenthin, Sanjay Singh Bora
2019 B conf
Mixed Variational Inference.
IJCNN
Nikolaos Gianniotis
2019 J jnl
Mixed Variational Inference.
CoRR
Nikolaos Gianniotis
2017 — conf
Linear Dimensionality Reduction for Time Series.
ICONIP (1)
Nikolaos Gianniotis
2016 — conf
A spectral model for multimodal redshift estimation.
SSCI
Sven Dennis Kügler, Nikolaos Gianniotis, Kai Lars Polsterer
2016 J jnl
Approximate variational inference based on a finite sample of Gaussian latent variables.
Pattern Anal. Appl.
Nikolaos Gianniotis, Christoph Schnörr, Christian Molkenthin, Sanjay Singh Bora
2016 J jnl
Model-Coupled Autoencoder for Time Series Visualisation.
CoRR
Nikolaos Gianniotis, Sven Dennis Kügler, Peter Tiño, Kai Lars Polsterer
2016 J jnl
Model-coupled autoencoder for time series visualisation.
Neurocomputing
Nikolaos Gianniotis, Sven Dennis Kügler, Peter Tiño, Kai Lars Polsterer
2016 B conf
Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs.
ESANN
Kai Lars Polsterer, Fabian Gieseke, Christian Igel, Bernd Doser, Nikolaos Gianniotis
2015 J jnl
Autoencoding Time Series for Visualisation.
CoRR
Nikolaos Gianniotis, Sven Dennis Kügler, Peter Tiño, Kai Polsterer, Ranjeev Misra
2015 B conf
Autoencoding time series for visualisation.
ESANN
Nikolaos Gianniotis, Sven Dennis Kügler, Peter Tiño, Kai Polsterer, Ranjeev Misra
2014 J jnl
Manifold aligned ground motion prediction equations for regional datasets.
Comput. Geosci.
Nikolaos Gianniotis, Nicolas Kuehn, Frank Scherbaum
2013 C conf
Interpretable magnification factors for topographic maps of high dimensional and structured data.
CIDM
Nikolaos Gianniotis
2013 — conf
Visualisation of high-dimensional data using an ensemble of neural networks.
CIEL
Nikolaos Gianniotis, Carsten Riggelsen
2012 — conf
Autoencoding Ground Motion Data for Visualisation.
ICANN (2)
Nikolaos Gianniotis, Carsten Riggelsen, Nicolas Kühn, Frank Scherbaum
2009 — conf
Topographic Mapping of Astronomical Light Curves via a Physically Inspired Probabilistic Model.
ICANN (1)
Nikolaos Gianniotis, Peter Tiño, Steve Spreckley, Somak Raychaudhury
2009 — conf
Visualization of Structured Data via Generative Probabilistic Modeling.
Similarity-Based Clustering
Nikolaos Gianniotis, Peter Tiño
2008 — —
Visualisation of structured data through generative probabilistic modeling.
Nikolaos Gianniotis
2008 J jnl
Visualization of Tree-Structured Data Through Generative Topographic Mapping.
IEEE Trans. Neural Networks
Nikolaos Gianniotis, Peter Tiño
2007 A* conf
Metric Properties of Structured Data Visualizations through Generative Probabilistic Modeling.
IJCAI
Peter Tiño, Nikolaos Gianniotis
2007 B conf
Visualisation of tree-structured data through generative probabilistic modelling.
ESANN
Nikolaos Gianniotis, Peter Tiño