Search Results for author: Cristóbal Esteban

Found 5 papers, 1 papers with code

Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs

6 code implementations ICLR 2018 Cristóbal Esteban, Stephanie L. Hyland, Gunnar Rätsch

We also describe novel evaluation methods for GANs, where we generate a synthetic labelled training dataset, and evaluate on a real test set the performance of a model trained on the synthetic data, and vice-versa.

Time Series Time Series Analysis +1

Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks

no code implementations8 Feb 2016 Cristóbal Esteban, Oliver Staeck, Yinchong Yang, Volker Tresp

In this work we present an approach based on RNNs, specifically designed for the clinical domain, that combines static and dynamic information in order to predict future events.

Predicting the Co-Evolution of Event and Knowledge Graphs

no code implementations21 Dec 2015 Cristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompaß

By predicting future events, we also predict likely changes in the knowledge graph and thus obtain a model for the evolution of the knowledge graph as well.

Knowledge Graphs Representation Learning

Learning with Memory Embeddings

no code implementations25 Nov 2015 Volker Tresp, Cristóbal Esteban, Yinchong Yang, Stephan Baier, Denis Krompaß

We introduce a number of hypotheses on human memory that can be derived from the developed mathematical models.

Knowledge Graphs Representation Learning

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