17 citations · 21 across the 3 of their papers we have counts for
3 papers
cs.SD2024★ 3 cited
Tuning Music Education: AI-Powered Personalization in Learning Music
Mayank Sanganeria, Rohan Gala
Recent AI-driven step-function advances in several longstanding problems in music technology are opening up new avenues to create the next generation of music education tools. Crea…
cs.LG2020★ 1 cited
Mixture Representation Learning with Coupled Autoencoders
Yeganeh M. Marghi, Rohan Gala, Uygar Sümbül
Jointly identifying a mixture of discrete and continuous factors of variability without supervision is a key problem in unraveling complex phenomena. Variational inference has emer…
q-bio.NC2019★ 17 cited
A coupled autoencoder approach for multi-modal analysis of cell types
Rohan Gala, Nathan Gouwens, Zizhen Yao +6
Recent developments in high throughput profiling of individual neurons have spurred data driven exploration of the idea that there exist natural groupings of neurons referred to as…