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Model-Based Reinforcement Learning for Atari

Mar 05, 2019
Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos, Blazej Osinski, Roy H Campbell, Konrad Czechowski, Dumitru Erhan, Chelsea Finn, Piotr Kozakowski, Sergey Levine, Ryan Sepassi, George Tucker, Henryk Michalewski


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VideoFlow: A Flow-Based Generative Model for Video

Mar 04, 2019
Manoj Kumar, Mohammad Babaeizadeh, Dumitru Erhan, Chelsea Finn, Sergey Levine, Laurent Dinh, Durk Kingma


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Adjustable Real-time Style Transfer

Nov 21, 2018
Mohammad Babaeizadeh, Golnaz Ghiasi


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Time Reversal as Self-Supervision

Oct 02, 2018
Suraj Nair, Mohammad Babaeizadeh, Chelsea Finn, Sergey Levine, Vikash Kumar

* 7 pages, 10 figures 

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Stochastic Variational Video Prediction

Mar 06, 2018
Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan, Roy H. Campbell, Sergey Levine


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Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case

Sep 29, 2017
Faraz Faghri, Sayed Hadi Hashemi, Mohammad Babaeizadeh, Mike A. Nalls, Saurabh Sinha, Roy H. Campbell


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Fast Generation for Convolutional Autoregressive Models

Apr 20, 2017
Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang

* Accepted at ICLR 2017 Workshop 

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Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU

Mar 02, 2017
Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz


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NoiseOut: A Simple Way to Prune Neural Networks

Nov 18, 2016
Mohammad Babaeizadeh, Paris Smaragdis, Roy H. Campbell


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Seq-NMS for Video Object Detection

Aug 22, 2016
Wei Han, Pooya Khorrami, Tom Le Paine, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Jianan Li, Shuicheng Yan, Thomas S. Huang

* Technical Report for Imagenet VID Competition 2015 

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