Attended the ICML workshop on Machine Learning for Music Discovery to present my work on regularizing latent spaces of VAE (Variational Auto-Encoder)-based models for automatic music generation. The proposed method can provide users with explicit control over musical attributes such as note density, rhythmic complexity, etc., and thereby, help design intuitive musical interfaces to enhance creative workflows. The full paper is available here.