About Me
I am an undergrad at Stanford University studying computer science and mathematics. My research has mainly focused on the intersection of music and machine learning, but I've become interested in other machine learning applications, like privacy.
Research
DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data GenerationRodrigo Castellon, Achintya Gopal, Brian Bloniarz, David Rosenberg
TPDP 2023
[paper]
EDGE: Editable Dance Generation From Music
Jonathan Tseng, Rodrigo Castellon, C. Karen Liu
CVPR 2023
[paper] [code] [media]
Codified Audio Language Modeling Learns Useful Representations for Music Information Retrieval
Rodrigo Castellon*, Chris Donahue*, Percy Liang
ISMIR 2021 (best paper runner-up)
[paper] [code]
Towards realistic MIDI instrument synthesizers
Rodrigo Castellon, Chris Donahue, Percy Liang
ML for Creativity and Design @ NeurIPS 2020 (scheduled talk)
[site] [paper] [talk] [code]