Dash, Denver

15 publications

ECCV 2020 SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans Armen Avetisyan, Tatiana Khanova, Christopher Choy, Denver Dash, Angela Dai, Matthias Nießner

WACV 2014 Physical Querying with Multi-Modal Sensing Iljoo Baek, Taylor Stine, Denver Dash, Fanyi Xiao, Yaser Sheikh, Yair Movshovitz-Attias, Mei Chen, Martial Hebert, Takeo Kanade

IJCAI 2013 Sequences of Mechanisms for Causal Reasoning in Artificial Intelligence Denver Dash, Mark Voortman, Martijn de Jongh

UAI 2010 Learning Why Things Change: The Difference-Based Causality Learner Mark Voortman, Denver Dash, Marek J. Druzdzel

MLJ 2010 Machine Learning Algorithms for Event Detection Dragos D. Margineantu, Weng-Keen Wong, Denver Dash

UAI 2008 Efficient Inference in Persistent Dynamic Bayesian Networks Tomás Singliar, Denver Dash

AAAI 2007 COD: Online Temporal Clustering for Outbreak Detection Tomás Singliar, Denver Dash

AAAI 2006 When Gossip Is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions Denver Dash, Branislav Kveton, John Mark Agosta, Eve M. Schooler, Jaideep Chandrashekar, Abraham Bachrach, Alex Newman

AISTATS 2005 Restructuring Dynamic Causal Systems in Equilibrium Denver Dash

UAI 2004 Bayesian Biosurveillance of Disease Outbreaks Gregory F. Cooper, Denver Dash, John D. Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner

JMLR 2004 Model Averaging for Prediction with Discrete Bayesian Networks Denver Dash, Gregory F. Cooper

AISTATS 2003 Model Averaging with Bayesian Network Classifiers Denver Dash, Gregory F. Cooper

UAI 2003 Robust Independence Testing for Constraint-Based Learning of Causal Structure Denver Dash, Marek J. Druzdzel

ICML 2002 Exact Model Averaging with Naive Bayesian Classifiers Denver Dash, Gregory F. Cooper

UAI 1999 A Hybrid Anytime Algorithm for the Construction of Causal Models from Sparse Data Denver Dash, Marek J. Druzdzel