Symbolic Music Genre Transfer with CycleGAN Gino Brunner, Yuyi Wang, Roger Wattenhofer and Sumu Zhao* Department of Information Technology and Electrical Engineering ETH Z¨urich Switzerland brunnegi,yuwang,wattenhofer,s

First Page		Document Content
Date: 2018-09-17 07:11:23 Music Computer music Learning Artificial intelligence Unsupervised learning Machine learning Cognitive science Generative adversarial network Generative model Artificial neural network Synthesizer Algorithmic composition		Symbolic Music Genre Transfer with CycleGAN Gino Brunner, Yuyi Wang, Roger Wattenhofer and Sumu Zhao* Department of Information Technology and Electrical Engineering ETH Z¨urich Switzerland brunnegi,yuwang,wattenhofer,s Add to Reading List Source URL: www.tik.ee.ethz.ch Download Document from Source Website File Size: 337,99 KB Share Document on Facebook

	Generative Embedding for Model-Based Classification of fMRI Data Kay H. Brodersen1,2*, Thomas M. Schofield3, Alexander P. Leff3, Cheng Soon Ong1, Ekaterina I. Lomakina1,2, Joachim M. Buhmann1, Klaas E. Stephan2,3 1 Depar DocID: 1u7JT - View Document
	A Versatile Scene Model with Differentiable Visibility Applied to Generative Pose Estimation Helge Rhodin1 Nadia Robertini1, 2 Christian Richardt1, 2 Hans-Peter Seidel1 Christian Theobalt1 1 MPI Informatik DocID: 1tj59 - View Document
	1 Event-based Camera Pose Tracking using a Generative Event Model arXiv:1510.01972v1 [cs.CV] 7 Oct 2015 DocID: 1tfn9 - View Document
	Name Phylogeny: A Generative Model of String Variation Nicholas Andrews and Jason Eisner and Mark Dredze Department of Computer Science and Human Language Technology Center of Excellence Johns Hopkins University 3400 N. DocID: 1ta2d - View Document
	INDEPENDENT COMPONENT ANALYSIS APPLIED TO fMRI DATA: A GENERATIVE MODEL FOR VALIDATING RESULTS V. Calhoun1,2, T. Adali,2 and G. Pearlson1 Johns Hopkins University Division of Psychiatric Neuro-Imaging, 600 N. Wolfe St., DocID: 1sk5A - View Document