N. Kalchbrenner, E. Grefenstette, P. Blunsom, A convolutional neural network for modelling sentences, in: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Vol. 1, 2014, pp. 655–665
2014
Cited alongside, same era.
M. Santos, P. Bull, D. Alonso, S. Camera, P. Ferreira, G. Bernardi, R. Maartens, M. Viel, F. Villaescusa-Navarro, F. B. Abdalla, M. Jarvis, R. B. Metcalf, A. Pourtsidou, L. Wolz, Cosmology from a SKA HI intensity mapping survey, Advancing Astrophysics with the Square Kilometre Array (AASKA14) (2015) 19
2015
Cited alongside, same era.
M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, S. Ghemawat, I. Goodfellow, A. Harp, G. Irving, M. Isard, Y. Jia, R. Jozefowicz, L. Kaiser, M. Kudlur, J. Levenberg, D. Mané, R. Monga, S. Moore, D. Murray, C. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Viégas, O. Vinyals, P. Warden, M. Wattenberg, M. Wicke, Y. Yu, X. Zheng, TensorFlow: Large-scale machine learning on heterogeneous systems , software available from tensorflow.org (2015). URL https://www.tensorflow.org/
2015
Cited alongside, same era.
S. Ioffe, C. Szegedy, Batch normalization: Accelerating deep network training by reducing internal covariate shift, in: International Conference on Machine Learning, 2015, pp. 448–456
2015
Cited alongside, same era.
J. Long, E. Shelhamer, T. Darrell, Fully convolutional networks for semantic segmentation, in: Proceedings of the IEEE conference on computer vision and pattern recognition, 2015, pp. 3431–3440
2015
Cited alongside, same era.
D. K. Duvenaud, D. Maclaurin, J. Iparraguirre, R. Bombarell, T. Hirzel, A. Aspuru-Guzik, R. P. Adams, Convolutional networks on graphs for learning molecular fingerprints, in: Advances in neural information processing systems, 2015, pp. 2224–2232
2015
Cited alongside, same era.
J. Masci, D. Boscaini, M. Bronstein, P. Vandergheynst, Geodesic convolutional neural networks on riemannian manifolds, in: Proceedings of the IEEE international conference on computer vision workshops, 2015, pp. 37–45
2015
Cited alongside, same era.
C. Howlett, M. Manera, W. J. Percival, L-PICOLA: A parallel code for fast dark matter simulation, Astronomy and Computing 12 (2015) 109–126
2015
Cited alongside, same era.
Planck Collaboration, Planck 2015 results. XIII. Cosmological parameters, A&A594 (2016) A13
2016
Cited alongside, same era.
HI4PI Collaboration, N. Ben Bekhti, L. Flöer, R. Keller, J. Kerp, D. Lenz, B. Winkel, J. Bailin, M. R. Calabretta, L. Dedes, H. A. Ford, B. K. Gibson, U. Haud, S. Janowiecki, P. M. W. Kalberla, F. J. Lockman, N. M. McClure-Griffiths, T. Murphy, H. Nakanishi, D. J. Pisano, L. Staveley-Smith, HI4PI: A full-sky H I survey based on EBHIS and GASS, A&A594 (2016) A116
2016
Cited alongside, same era.
S. Ravanbakhsh, J. Oliva, S. Fromenteau, L. C. Price, S. Ho, J. Schneider, B. Póczos, Estimating cosmological parameters from the dark matter distribution, in: Proceedings of the 33rd International Conference on International Conference on Machine Learning - Volume 48, ICML’16, JMLR.org, 2016, pp. 2407–2416
2016
Cited alongside, same era.
Planck Collaboration, Planck 2015 results. I. Overview of products and scientific results, A&A594 (2016) A1
2016
Cited alongside, same era.