- Robert Ganian, Eun Jung Kim, Friedrich Slivovsky and Stefan Szeider. Weighted Counting for Constraint Satisfaction with Default Values: Algorithms and Complexity Results
- Martin Trapp, Robert Peharz, Carl E. Rasmussen and Franz Pernkopf. Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks
- Martin Tegner, Ben Bloem-Reddy and Stephen Roberts. Sequential sampling of Gaussian process latent variable models
- Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang and Guy Van den Broeck. A Semantic Loss Function for Deep Learning with Symbolic Knowledge
- Yoojung Choi and Guy Van den Broeck. On Robust Trimming of Bayesian Network Classifiers
- Tal Friedman and Guy Van den Broeck. Approximate Knowledge Compilation by Online Collapsed Importance Sampling
- Johannes K. Fichte, Markus Hecher, Neha Lodha and Stefan Szeider. An SMT Approach to Fractional Hypertree Width
- David Steurer and Junyao Zhao. Efficient Learning for Latent Dirichlet Allocation from Few Documents
- Yujia Shen, Arthur Choi and Adnan Darwiche. Hierarchical Maps using Structured Bayesian Networks
- Antonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina, Kristian Kersting and Floriana Esposito. Sum-Product Autoencoding: Encoding and Decoding Representations using Sum-Product Networks
- Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting and Isabel Valera. Automatic Bayesian Density Analysis
- Lukas Sommer, Julian Oppermann, Alejandro Molina, Carsten Binnig, Kristian Kersting and Andreas Koch. Automatic Synthesis of FPGA-based Accelerators for the Sum-Product Network Inference Problem
- Song Liu, Wittawat Jitkrittum and Carl Ek. Tractable Inference with Stein Density Ratio Estimation
- Daniel Sheldon, Kevin Winner and Debora Sujono. Learning in Integer Latent Variable Models with Nested Automatic Differentiation
- Marco Benjumeda, Sergio Luengo-Sanchez, Pedro Larrañaga and Concha Bielza. Bounding the Complexity of Structural Expectation-Maximization
- Samuel Kolb, Martin Mladenov, Scott Sanner, Vaishak Belle and Kristian Kersting. Efficient Symbolic Integration for Probabilistic Inference