Do Androids Dream of Magnetic Fields? Using Neural Networks to Interpret the Turbulent Interstellar Medium BY J. E. G. PEEK (JEGPEEK@STSCI.EDU) AND BLAKESLEY BURKHART arXiv Link: https://arxiv.org/abs/1905.00918 Many papers on deep learning attempt to show that a new method or architecture is generically more effective than an existing one, or they apply some existing architecture … Continue reading Do Androids Dream of Magnetic Fields?
Learning to Warp the Earliest Cosmic Light
Deep CMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks By João Caldeira (firstname.lastname@example.org); W. L. Kimmy Wu; Brian Nord; Camille Avestruz; Shubhendu Trivedi; Kyle T. Story arXiv Link: http://arxiv.org/abs/1810.01483 This work uses convolutional neural networks to reconstruct key features of the Cosmic Microwave Background (CMB) with an accuracy higher than current standard methods. Deep … Continue reading Learning to Warp the Earliest Cosmic Light