On Autoencoders and Score Matching for Energy Based Models. - Kevin Swersky; Marc'Aurelio Ranzato; David Buchman; Benjamin M. Marlin; Nando de Freitas (ICML, 2011)

Aggregation and Population Growth: The Relational Logistic Regression and Markov Logic Cases. - David Poole 001; David Buchman; Sriraam Natarajan; Kristian Kersting (StarAI@UAI, 2012)

On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models. - David Buchman; Mark Schmidt 001; Shakir Mohamed; David Poole 001; Nando de Freitas (AISTATS, 2012)

Probabilistic Reasoning with Undefined Properties in Ontologically-Based Belief Networks. - Chia-Li Kuo; David Buchman; Arzoo Katiyar; David Poole 001 (IJCAI, 2013)

Relational Logistic Regression: The Directed Analog of Markov Logic Networks. - Seyed Mehran Kazemi; David Buchman; Kristian Kersting; Sriraam Natarajan; David Poole 001 (StarAI@AAAI, 2014)

Relational Logistic Regression. - Seyed Mehran Kazemi; David Buchman; Kristian Kersting; Sriraam Natarajan; David Poole 001 (KR, 2014)

Population Size Extrapolation in Relational Probabilistic Modelling. - David Poole 001; David Buchman; Seyed Mehran Kazemi; Kristian Kersting; Sriraam Natarajan (SUM, 2014)

Representing Aggregators in Relational Probabilistic Models. - David Buchman; David Poole 001 (AAAI, 2015)

Negation Without Negation in Probabilistic Logic Programming. - David Buchman; David Poole 001 (KR, 2016)

Why Rules are Complex: Real-Valued Probabilistic Logic Programs are not Fully Expressive. - David Buchman; David Poole 001 (UAI, 2017)

Negative probabilities in probabilistic logic programs. - David Buchman; David Poole 001 (Int. J. Approx. Reason., 2017)