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Active MR k-space Sampling with Reinforcement Learning

Jul 20, 2020
Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal

* To appear in 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020 

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On the Evaluation of Conditional GANs

Jul 11, 2019
Terrance DeVries, Adriana Romero, Luis Pineda, Graham W. Taylor, Michal Drozdzal

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Learning Causal State Representations of Partially Observable Environments

Jun 25, 2019
Amy Zhang, Zachary C. Lipton, Luis Pineda, Kamyar Azizzadenesheli, Anima Anandkumar, Laurent Itti, Joelle Pineau, Tommaso Furlanello

* 16 pages, 11 figures 

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Elucidating image-to-set prediction: An analysis of models, losses and datasets

Apr 11, 2019
Luis Pineda, Amaia Salvador, Michal Drozdzal, Adriana Romero

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Planning in Stochastic Environments with Goal Uncertainty

Oct 18, 2018
Sandhya Saisubramanian, Kyle Hollins Wray, Luis Pineda, Shlomo Zilberstein

* 8 pages, 5 figures 

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Generalizing the Role of Determinization in Probabilistic Planning

Jul 29, 2017
Luis Pineda, Shlomo Zilberstein

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