| 2026 | AAAI | Paths Not Taken: Structure-Based Pruning in PSDD Learning and Inference. | Cory J. Butz, Alejandro Santoscoy-Rivero, Camilla E. Lewis |
| 2025 | AI | Towards Inference in Arithmetic Circuits by Exploiting Barren Variables. | Cory J. Butz, Jhonatan de S. Oliveira, Kadence Meredith |
| 2025 | ECSQARU | Arithmetic Circuit Compilation Using Symbolic Probabilistic Inference and Indicator-Determined Buckets. | Cory J. Butz, Camilla E. Lewis, Alejandro Santoscoy-Rivero, Anders L. Madsen |
| 2023 | AI | Upward Pass Semantics in Arithmetic Circuit Inference. | Cory J. Butz, Jhonatan de S. Oliveira, Andr E. dos Santos, Anna Norris, Kadence Meredith |
| 2023 | ECSQARU | A Comparison of Different Marginalization Operations in Simple Propagation. | Anders L. Madsen, Cory J. Butz |
| 2019 | AAAI | Deep Convolutional Sum-Product Networks. | Cory J. Butz, Jhonatan de S. Oliveira, Andr E. dos Santos, Andr L. Teixeira |
| 2019 | AI | Exploiting Symmetry of Independence in d-Separation. | Cory J. Butz, Andr E. dos Santos, Jhonatan de S. Oliveira, Anders L. Madsen |
| 2019 | AI | Solving Influence Diagrams with Simple Propagation. | Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, Andr E. dos Santos |
| 2019 | FlAIRS | On the Tree Structure of Deep Convolutional Sum-Product Networks. | Cory J. Butz, Andr Lobo Teixeira, Andr E. dos Santos, Jhonatan de S. Oliveira |
| 2017 | AI | Resolving Inconsistencies of Scope Interpretations in Sum-Product Networks. | Jhonatan de S. Oliveira, Cory J. Butz, Andr E. dos Santos |
| 2017 | AI | On Converting Sum-Product Networks into Bayesian Networks. | Andr E. dos Santos, Cory J. Butz, Jhonatan de S. Oliveira |
| 2016 | AI | A Simple Method for Testing Independencies in Bayesian Networks. | Cory J. Butz, Andr E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales |
| 2016 | AI | On Tree Structures Used by Simple Propagation. | Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, Andr E. dos Santos |
| 2016 | FlAIRS | Bayesian Network Inference with Simple Propagation. | Cory J. Butz, Jhonatan de S. Oliveira, Andr E. dos Santos, Anders L. Madsen |
| 2016 | FlAIRS | Testing Independencies in Bayesian Networks with i-Separation. | Cory J. Butz, Andr E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales |
| 2015 | AI | Darwinian Networks. | Cory J. Butz, Jhonatan de S. Oliveira, Andr E. dos Santos |
| 2015 | AI | Exploiting Semantics in Bayesian Network Inference Using Lazy Propagation. | Anders L. Madsen, Cory J. Butz |
| 2013 | AI | d-Separation: Strong Completeness of Semantics in Bayesian Network Inference. | Cory J. Butz, Wen Yan, Anders L. Madsen |
| 2013 | ECSQARU | On Semantics of Inference in Bayesian Networks. | Cory J. Butz, Wen Yan, Anders L. Madsen |
| 2013 | ECSQARU | On the Tree Structure Used by Lazy Propagation for Inference in Bayesian Networks. | Anders L. Madsen, Cory J. Butz |
| 2012 | FlAIRS | Special Track on Uncertain Reasoning. | Cory J. Butz |
| 2011 | ECSQARU | Using Four Cost Measures to Determine Arc Reversal Orderings. | Cory J. Butz, Anders L. Madsen, Kevin Williams |
| 2011 | FlAIRS | Special Track on Uncertain Reasoning. | Laurent Perrussel, Cory J. Butz |
| 2009 | FlAIRS | A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference. | Cory J. Butz, Junying Chen, Ken Konkel, Pawan Lingras |
| 2009 | FlAIRS | Join Tree Propagation Utilizing Both Arc Reversal and Variable Elimination. | Cory J. Butz, Ken Konkel, Pawan Lingras |
| 2008 | ISMIS | A Web-Based Interface for Hiding Bayesian Network Inference. | Cory J. Butz, Pawan Lingras, Ken Konkel |
| 2007 | GRC | Precision and Recall in Rough Support Vector Machines. | Pawan Lingras, Cory J. Butz |
| 2006 | AI | An Improved LAZY-AR Approach to Bayesian Network Inference. | Cory J. Butz, Shan Hua |
| 2005 | AI | Incorporating Evidence in Bayesian Networks with the Select Operator. | Cory J. Butz, F. Fang |
| 2005 | GRC | Interval set representations of 1-v-r support vector machine multi-classifiers. | Pawan Lingras, Cory J. Butz |
| 2004 | SDM | A Foundational Approach to Mining Itemset Utilities from Databases. | Hong Yao, Howard J. Hamilton, Cory J. Butz |
| 2003 | AI | A New Inference Axiom for Probabilistic Conditional Independence. | Cory J. Butz, S. K. Michael Wong, Dan Wu |
| 2003 | AI | Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach. | S. K. Michael Wong, Dan Wu, Cory J. Butz |
| 2003 | ISMIS | Comparing Hierarchical Markov Networks and Multiply Sectioned Bayesian Networks. | Cory J. Butz, H. Geng |
| 2002 | AI | On the Role of Contextual Weak Independence in Probabilistic Inference. | Cory J. Butz, Manon J. Sanscartier |
| 2002 | ICDM | FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences. | Hong Yao, Howard J. Hamilton, Cory J. Butz |
| 2000 | ISMIS | A Comparative Study of Noncontextual and Contextual Dependencies. | S. K. Michael Wong, Cory J. Butz |
| 1999 | IDEAS | Recovery Protocols in Multi-Agent Probabilistic Reasoning Systems. | Cory J. Butz, S. K. Michael Wong |
| 1999 | PAKDD | On Information-Theoretic Measures of Attribute Importance. | Yiyu Yao, S. K. Michael Wong, Cory J. Butz |
| 1999 | UAI | Contextual Weak Independence in Bayesian Networks. | S. K. Michael Wong, Cory J. Butz |
| 1995 | UAI | A Method for Implementing a Probabilistic Model as a Relational Database. | S. K. Michael Wong, Cory J. Butz, Yang Xiang |