I'm a 5th year PhD student (now candidate) supervised by Miguel Á. Carreira-Perpiñán at UC Merced . My current research interests lie in
model compression, particularly compression of deep neural networks, e.g. quantization, pruning, etc.
A Flexible, Extensible Software Framework for Model Compression Based on the LC Algorithm
Idelbayev, Y. and Carreira-Perpiñán, M. Á. (2020)
Unpublished manuscript, May 15, 2020, arXiv:2005.07786
[external link][paper preprint][code on github]
Model Compression as Constrained Optimization, with Application to Neural Nets. Part II: quantization
Carreira-Perpiñán, M. Á. and Idelbayev, Y . (2017)
Unpublished manuscript, Jul. 13, 2017, arXiv:1707.04319
[external link] [paper preprint] [code on github]
Small Molecule Accurate Recognition Technology (SMART) to Enhance Natural Products Research
Zhang, C., Idelbayev, Y., Roberts, N., Tao, Y., Nannapaneni, Y., Duggan, B., Min, J., Lin, E., Gerwick, E., Garrison W. Cottrell, G. and Gerwick, W.
Scientific Reports 7, 14243 (2017)
[external link] [paper] [CC BY 4.0]