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SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans


Mar 27, 2020
Armen Avetisyan, Tatiana Khanova, Christopher Choy, Denver Dash, Angela Dai, Matthias Nießner

* Video here https://youtu.be/F0DpggYByh0 

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A Hybrid Anytime Algorithm for the Constructiion of Causal Models From Sparse Data


Jan 23, 2013
Denver Dash, Marek J. Druzdzel

* Appears in Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (UAI1999) 

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A Robust Independence Test for Constraint-Based Learning of Causal Structure


Oct 19, 2012
Denver Dash, Marek J. Druzdzel

* Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003) 

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Bayesian Biosurveillance of Disease Outbreaks


Jul 11, 2012
Gregory F. Cooper, Denver Dash, John Levander, Weng-Keen Wong, William Hogan, Michael Wagner

* Appears in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI2004) 

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Efficient inference in persistent Dynamic Bayesian Networks


Jun 13, 2012
Tomas Singliar, Denver Dash

* Appears in Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI2008) 

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Learning Why Things Change: The Difference-Based Causality Learner


Mar 15, 2012
Mark Voortman, Denver Dash, Marek J. Druzdzel

* Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010) 

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