6 citations · 7 across the 4 of their papers we have counts for
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cs.LG2023★ 1 cited
Fast exploration and learning of latent graphs with aliased observations
Miguel Lazaro-Gredilla, Ishan Deshpande, Sivaramakrishnan Swaminathan +2
We consider the problem of recovering a latent graph where the observations at each node are \emph{aliased}, and transitions are stochastic. Observations are gathered by an agent t…
cs.LG2019
Max-Sliced Wasserstein Distance and its use for GANs
Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun +6
Generative adversarial nets (GANs) and variational auto-encoders have significantly improved our distribution modeling capabilities, showing promise for dataset augmentation, image…