Challenges for an Ontology of Artificial Intelligence. - Scott H. Hawley (CoRR, 2019)

SignalTrain: Profiling Audio Compressors with Deep Neural Networks. - Scott H. Hawley; Benjamin Colburn; Stylianos I. Mimilakis (CoRR, 2019)

Exploring Quality and Generalizability in Parameterized Neural Audio Effects. - William Mitchell; Scott H. Hawley (CoRR, 2020)

ConvNets for Counting: Object Detection of Transient Phenomena in Steelpan Drums. - Scott H. Hawley; Andrew C. Morrison (CoRR, 2021)

espiownage: Tracking Transients in Steelpan Drum Strikes Using Surveillance Technology. - Scott H. Hawley; Andrew C. Morrison; Grant S. Morgan (CoRR, 2021)

Leveraging Neural Representations for Audio Manipulation. - Scott H. Hawley; Christian J. Steinmetz (CoRR, 2023)

Fast Timing-Conditioned Latent Audio Diffusion. - Zach Evans; CJ Carr; Josiah Taylor; Scott H. Hawley; Jordi Pons (ICML, 2024)

Operational Latent Spaces. - Scott H. Hawley; Austin R. Tackett (CoRR, 2024)

Pictures Of MIDI: Controlled Music Generation via Graphical Prompts for Image-Based Diffusion Inpainting. - Scott H. Hawley (CoRR, 2024)