Tushar Jain — accepted AI-conference papers

2022

VQ-Flows: Vector quantized local normalizing flows

Sahil Sidheekh, Chris B. Dock, Tushar Jain, Radu Balan, Maneesh K. Singh

UAI 2022poster

Normalizing flows provide an elegant approach to generative modeling that allows for efficient sampling and exact density evaluation of unknown data distributions. However, current techniques have significant limitations in their expressivity when the data distribution is supported on a low-dime…

Cited by 9 Source ↗PDF ↗Scholar ↗

2019

Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

Amanpreet Singh, Tushar Jain, Sainbayar Sukhbaatar

ICLR 2019poster

Learning when to communicate and doing that effectively is essential in multi-agent tasks. Recent works show that continuous communication allows efficient training with back-propagation in multi-agent scenarios, but have been restricted to fully-cooperative tasks. In this paper, we present Individu…

Cited by 391 Source ↗PDF ↗code ↗Scholar ↗