Headshot

Vinam Arora

Machine Learning PhD Student at Georgia Tech

Atlanta, Georgia, USA

About Me

I am a Ph.D. student in Machine Learning at Georgia Institute of Technology, where I am advised by Prof. Eva Dyer. My areas of interest are Self-Supervised Learning and Large-Scale Learning. I like working with challenging datasets and am actively working on developing deep learning methods for computational-neuroscience, graphs, and timeseries. I did my undergrad in ECE from the Indian Institute of Technology - Roorkee. Before diving into machine learning research, I used to work as a chip-design engineer.

Publications

A Unified, Scalable Framework for Neural Population Decoding

Mehdi Azabou, Vinam Arora, Venkataramana Ganesh, Ximeng Mao, Santosh Nachimuthu, Michael Mendelson, Blake Richards, Matthew Perich, Guillaume Lajoie, Eva L. Dyer

Neural Information Processing Systems (NeurIPS), 2023

GraphFM: A Scalable Framework For Multi-Graph Pretraining

Divyansha Lachi, Mehdi Azabou, Vinam Arora, Eva L. Dyer

Preprint, 2024