Aditya Grover

 

 

I am a research scientist in the Core ML team at Facebook AI Research. I also collaborate with Pieter Abbeel at UC Berkeley as a visiting postdoctoral researcher. In Fall 2021, I will join UCLA as an assistant professor of computer science.

My research is centered around foundations of probabilistic machine learning for unsupervised representation learning and sequential decision making, and is grounded in applications at the intersection of physical sciences and climate change.

Previously, I completed my PhD at Stanford University (2020) and my bachelors at IIT Delhi (2015), both in computer science. During my PhD, I spent wonderful summers interning at Google Brain, Microsoft Research, and OpenAI. At Stanford, I created and taught a new course on Deep Generative Models with my advisor Stefano Ermon.

Contact: aditya.grover1 at gmail.com

Selected Awards

Preprints

Ph.D. Thesis

     Learning to Represent and Reason under Limited Supervision
     Advisor: Stefano Ermon
     Committee: Stephen Boyd (chair), Moses Charikar, Eric Horvitz, Jure Leskovec, Percy Liang
     [thesis][Press 1, 2]
     ACM SIGKDD Doctoral Dissertation Award, 2021.

Journal and Conference Publications

[* denotes equal contribution]

Teaching

Outreach