Current Members

Assistant HES, PhD student CS UNIGE
Jason Ramapuram

Bio

Jason Ramapuram joined the DMML team in 2015. He completed his Masters in Electrical Engineering (with a focus on Signal Processing) in 2011 from the University of California, Riverside. Until joining the DMML team Jason worked as a Software Engineer at Qualcomm Inc and later as a Machine Learning Engineer at Viasat Inc. Jason has also done academic internships at Apple AI Research and Rockwell Collins Advanced Technology Center.

Research

Jason is actively working on Lifelong Learning for Generative Models as well as Variational approaches to allow CNN’s to work over ultra-high dimensional image data (eg: 4k / 8k images).

Publications

2018

Gregorová, Magda; Ramapuram, Jason; Kalousis, Alexandros; Marchand-Maillet, Stéphane

Large-scale Nonlinear Variable Selection via Kernel Random Features Journal Article

CoRR, abs/1804.07169 , 2018.

Links | BibTeX

Ramapuram, Jason; Webb, Russ

A New Benchmark and Progress Toward Improved Weakly Supervised Learning Journal Article

CoRR, abs/1807.00126 , 2018.

Links | BibTeX

Lavda, Frantzeska; Ramapuram, Jason; Gregorova, Magda; Kalousis, Alexandros

Continual Classification Learning Using Generative Models Journal Article

CoRR, abs/1810.10612 , 2018.

Links | BibTeX

2017

Ramapuram, Jason; Gregorova, Magda; Kalousis, Alexandros

Lifelong Generative Modeling Journal Article

CoRR, abs/1705.09847 , 2017.

Links | BibTeX