Maneesh K. Singh

2 accepted 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…

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2018

Disconnected Manifold Learning for Generative Adversarial Networks

Mahyar Khayatkhoei, Maneesh K. Singh, Ahmed Elgammal

NeurIPS 2018poster

Natural images may lie on a union of disjoint manifolds rather than one globally connected manifold, and this can cause several difficulties for the training of common Generative Adversarial Networks (GANs). In this work, we first show that single generator GANs are unable to correctly model a distr…

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