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[1] D. M. Bramich,et al. A new algorithm for difference image analysis , 2008, 0802.1273.
[2] W. M. Wood-Vasey,et al. The Pan-STARRS1 Surveys , 2016, 1612.05560.
[3] Octavi Fors,et al. Evryscope Science: Exploring the Potential of All-Sky Gigapixel-Scale Telescopes , 2015, 1501.03162.
[4] Lin Yan,et al. The IPAC Image Subtraction and Discovery Pipeline for the Intermediate Palomar Transient Factory , 2016, 1608.01733.
[5] B. A. Boom,et al. GW170104: Observation of a 50-Solar-Mass Binary Black Hole Coalescence at Redshift 0.2. , 2017, Physical review letters.
[6] E. Bertin,et al. SExtractor: Software for source extraction , 1996 .
[7] S. Howerton,et al. CRTS SNHunt: The First Five Years of Supernova Discoveries , 2017 .
[8] Akshay Pai,et al. Deep-learnt classification of light curves , 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).
[9] A. Katsaggelos,et al. Gravity Spy: integrating advanced LIGO detector characterization, machine learning, and citizen science , 2016, Classical and quantum gravity.
[10] Thomas Brox,et al. Hybrid Learning of Optical Flow and Next Frame Prediction to Boost Optical Flow in the Wild , 2017 .
[11] C. Lintott,et al. Galaxy Zoo 2: detailed morphological classifications for 304,122 galaxies from the Sloan Digital Sky Survey , 2013, 1308.3496.
[12] S. G. Djorgovski,et al. The Palomar-Quest digital synoptic sky survey , 2007, 0801.3005.
[13] Daan Wierstra,et al. Stochastic Backpropagation and Approximate Inference in Deep Generative Models , 2014, ICML.
[14] S. G. Djorgovski,et al. Towards an Automated Classification of Transient Events in Synoptic Sky Surveys , 2011, CIDU.
[15] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[16] Ernest E. Croner,et al. The Palomar Transient Factory: System Overview, Performance, and First Results , 2009, 0906.5350.
[17] E. Ofek,et al. PROPER IMAGE SUBTRACTION—OPTIMAL TRANSIENT DETECTION, PHOTOMETRY, AND HYPOTHESIS TESTING , 2016, 1601.02655.
[18] N. S. Philip,et al. Transient Classification in LIGO data using Difference Boosting Neural Network , 2016, 1609.07259.
[19] Nima Sedaghat. Next-Flow: Hybrid Multi-Tasking with Next-Frame Prediction to Boost Optical-Flow Estimation in the Wild , 2016, ArXiv.
[20] Eric C. Bellm,et al. The Zwicky Transient Facility , 2013, 1410.8185.
[21] Yann LeCun,et al. Deep multi-scale video prediction beyond mean square error , 2015, ICLR.
[22] Christophe Fiorio,et al. Two Linear Time Union-Find Strategies for Image Processing , 1996, Theor. Comput. Sci..
[23] Arie Shoshani,et al. Optimizing connected component labeling algorithms , 2005, SPIE Medical Imaging.
[24] R. Lupton,et al. A Method for Optimal Image Subtraction , 1997, astro-ph/9712287.
[25] John W. Fowler,et al. Aperture Photometry Tool , 2012 .
[26] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[27] J. Prieto,et al. THE MAN BEHIND THE CURTAIN: X-RAYS DRIVE THE UV THROUGH NIR VARIABILITY IN THE 2013 ACTIVE GALACTIC NUCLEUS OUTBURST IN NGC 2617 , 2013, 1310.2241.
[28] Steve B. Howell,et al. TWO-DIMENSIONAL APERTURE PHOTOMETRY: SIGNAL-TO-NOISE RATIO OF POINT-SOURCE OBSERVATIONS AND OPTIMAL DATA-EXTRACTION TECHNIQUES , 1989 .
[29] Tom Charnock,et al. Deep Recurrent Neural Networks for Supernovae Classification , 2016, ArXiv.
[30] Pablo A. Estévez,et al. Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient Detection , 2017, ArXiv.
[31] Eduardo Serrano,et al. LSST: From Science Drivers to Reference Design and Anticipated Data Products , 2008, The Astrophysical Journal.
[32] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[33] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[34] A. J. Drake,et al. FIRST RESULTS FROM THE CATALINA REAL-TIME TRANSIENT SURVEY , 2008, 0809.1394.
[35] Paul M. Brunet,et al. The Gaia mission , 2013, 1303.0303.
[36] Naonori Ueda,et al. Machine-learning selection of optical transients in the Subaru/Hyper Suprime-Cam survey , 2016, 1609.03249.