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e92381dba235a8309f08ce46376189a9-Paper-Conference.pdf
Neural Information Processing Systems
The transition dynamics simply mixes an action and a random sampled latent. It then applies an exponential moving average for temporal persistency, the resulting latent is decoded to image using pretrained generator.
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A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
Jeffrey Chan, Valerio Perrone, Jeffrey Spence, Paul Jenkins, Sara Mathieson, Yun Song
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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Riemannian stochastic optimization methods avoid strict saddle points Anonymous Author(s) Affiliation Address email
Neural Information Processing Systems
Riemannian setting is a highly challenging affair.
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Variational Learning on Aggregate Outputs with Gaussian Processes
Ho Chung Law, Dino Sejdinovic, Ewan Cameron, Tim Lucas, Seth Flaxman, Katherine Battle, Kenji Fukumizu
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Neural Information Processing Systems http://nips.cc/
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