![[Image (JPEG): Suryabhan Singh Hada]](./files/profile.jpg) |
Suryabhan Singh HadaPh.D. studentElectrical Engineering and Computer Science School of Engineering University of California, Merced 5200 N. Lake Road Merced, CA 95343 Email: shada [at] ucmerced.edu WWW: http://graduatestudents.ucmerced.edu/shada Social: [LinkedIn][Facebook] |
I am looking for summer internships in machine learning.
My research focuses on Machine Learning and Optimization and their applications in computer vision and natural language processing. Particularly, my recent work focuses on interpretability of deep neural networks and their visualization. In the past, I worked on mathematical modelling and fractal image compression.
I am a fourth year Ph.D. student at UC Merced supervised by Miguel Á. Carreira-Perpiñán. I received my Integrated Masters of Technology (Undergraduation and Masters), in Mathematics and Computing from IIT(BHU). Before starting my Ph.D. I worked as a Software Engineer at Cvent. You can find my Resume [here] .
Hada, S. S. and Carreira-Perpiñán, M. Á. (2019):
"Style Transfer by Rigid Alignment in Neural Net Feature Space".
Unpublished manuscript, Sept. 27, 2019, arXiv:1909.13690.
[external link] [paper preprint] [animations]
Hada, S. S. and Carreira-Perpiñán, M. Á. (2019):
"Sampling the "Inverse Set" of a Neuron: An Approach to Understanding Neural Nets".
Unpublished manuscript, Sept. 27, 2019, arXiv:1910.04857.
[external link] [paper preprint]
Extended abstract at the Bay Area Machine Learning Symposium, Oct. 19, 2017 (BayLearn 2017)
[external link]
[paper preprint]
[poster]
Suryabhan Singh Hada (2014): "A Fast Encoding Method for Fractal Image Compression".
International Journal of Computer Applications (IJCA), August 2014.,
[external link]