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Latent representations of transient candidates from an astronomical image difference pipeline using Variational Autoencoders., , , and . ESANN, (2018)Clustering of Astronomical Transient Candidates Using Deep Variational Embedding., , , and . IJCNN, page 1-8. IEEE, (2018)Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases., , , , and . IEEE Comput. Intell. Mag., 9 (3): 27-39 (2014)An Information Theoretic Algorithm for Finding Periodicities in Stellar Light Curves, , , , and . CoRR, (2012)Robust period estimation using mutual information for multi-band light curves in the synoptic survey era., , , , , , , and . CoRR, (2017)An Information Theory Approach on Deciding Spectroscopic Follow Ups., , , and . CoRR, (2019)Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases., , , , and . CoRR, (2015)K-Nearest Neighbor Nonnegative Matrix Factorization for Learning a Mixture of Local SOM Models., , and . WSOM, volume 295 of Advances in Intelligent Systems and Computing, page 229-238. Springer, (2014)Discriminating Variable Star Candidates in Large Image Databases from the HiTS Survey Using NMF., , , and . INNS Conference on Big Data, volume 53 of Procedia Computer Science, page 29-38. Elsevier, (2015)Enhanced Rotational Invariant Convolutional Neural Network for Supernovae Detection., , , , , , and . IJCNN, page 1-8. IEEE, (2018)