3 papers
cs.SD2026
Statistical Models for Automatic Fingering-Annotated Piano Sheet Music Transcription
Daniel Penner, Abram Hindle
Machine learning tools have significantly aided automatic piano music transcription; however, this domain has focused primarily on accurately predicting the pitches and timings of…
cs.SD2026
Evaluating Loss Functions in Differentiable Out-of-Domain Sound-Matching with Partial Parameter Distance
Amir Salimi, Daniel Penner, Kalvin Eng +2
In out-of-domain (OOD) sound-matching, a synthesizer is optimized to mimic a sound it did not generate. OOD evaluation of loss functions is underexplored in part because the standa…
cs.SE2026
How do Agents Refactor: An Empirical Study
Lukas Ottenhof, Daniel Penner, Abram Hindle +1
Software development agents such as Claude Code, GitHub Copilot, Cursor Agent, Devin, and OpenAI Codex are being increasingly integrated into developer workflows. While prior work…