30 citations · 149 across the 35 of their papers we have counts for
3 papers · 1 filter
DPD-InfoGAN: Differentially Private Distributed InfoGAN
Vaikkunth Mugunthan, Vignesh Gokul, Lalana Kagal +1
Generative Adversarial Networks (GANs) are deep learning architectures capable of generating synthetic datasets. Despite producing high-quality synthetic images, the default GAN ha…
Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm
Ke Chen, Cheng-i Wang, Taylor Berg-Kirkpatrick +1
Drawing an analogy with automatic image completion systems, we propose Music SketchNet, a neural network framework that allows users to specify partial musical ideas guiding automa…
Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions
Ke Chen, Gus Xia, Shlomo Dubnov
Automatic music generation is an interdisciplinary research topic that combines computational creativity and semantic analysis of music to create automatic machine improvisations.…