56 citations · 142 across the 8 of their papers we have counts for
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cs.LG2016★ 56 cited
Generative Multi-Adversarial Networks
Ishan Durugkar, Ian Gemp, Sridhar Mahadevan
Generative adversarial networks (GANs) are a framework for producing a generative model by way of a two-player minimax game. In this paper, we propose the \emph{Generative Multi-Ad…
cs.LG2016★ 2 cited
Online Monotone Optimization
Ian Gemp, Sridhar Mahadevan
This paper presents a new framework for analyzing and designing no-regret algorithms for dynamic (possibly adversarial) systems. The proposed framework generalizes the popular onli…
cs.LG2016★ 2 cited
Inverting Variational Autoencoders for Improved Generative Accuracy
Ian Gemp, Ishan Durugkar, Mario Parente +2
Recent advances in semi-supervised learning with deep generative models have shown promise in generalizing from small labeled datasets () to large unlabeled…