| 2017 | AISTATS | Inference Compilation and Universal Probabilistic Programming. | Tuan Anh Le, Atilim Gunes Baydin, Frank D. Wood |
| 2017 | IJCNN | Using synthetic data to train neural networks is model-based reasoning. | Tuan Anh Le, Atilim Gnes Baydin, Robert Zinkov, Frank D. Wood |
| 2017 | UAI | Interpreting Lion Behaviour as Probabilistic Programs. | Neil Dhir, Matthijs Vkr, Matthew Wijers, Andrew Markham, Frank D. Wood |
| 2016 | AISTATS | Black-Box Policy Search with Probabilistic Programs. | Jan-Willem van de Meent, Brooks Paige, David Tolpin, Frank D. Wood |
| 2016 | ICML | Inference Networks for Sequential Monte Carlo in Graphical Models. | Brooks Paige, Frank D. Wood |
| 2016 | ICML | Interacting Particle Markov Chain Monte Carlo. | Tom Rainforth, Christian A. Naesseth, Fredrik Lindsten, Brooks Paige, Jan-Willem van de Meent, Arnaud Doucet, Frank D. Wood |
| 2016 | IROS | Nonparametric Bayesian models for unsupervised activity recognition and tracking. | Neil Dhir, Yura N. Perov, Frank D. Wood |
| 2016 | LICS | Semantics for probabilistic programming: higher-order functions, continuous distributions, and soft constraints. | Sam Staton, Hongseok Yang, Frank D. Wood, Chris Heunen, Ohad Kammar |
| 2016 | UAI | Super-Sampling with a Reservoir. | Brooks Paige, Dino Sejdinovic, Frank D. Wood |
| 2015 | AISTATS | Particle Gibbs with Ancestor Sampling for Probabilistic Programs. | Jan-Willem van de Meent, Hongseok Yang, Vikash Mansinghka, Frank D. Wood |
| 2015 | SoCS | Maximum a Posteriori Estimation by Search in Probabilistic Programs. | David Tolpin, Frank D. Wood |
| 2014 | AISTATS | The Dependent Dirichlet Process Mixture of Objects for Detection-free Tracking and Object Modeling. | Willie Neiswanger, Frank D. Wood, Eric P. Xing |
| 2014 | AISTATS | A New Approach to Probabilistic Programming Inference. | Frank D. Wood, Jan-Willem van de Meent, Vikash Mansinghka |
| 2014 | ICML | A Compilation Target for Probabilistic Programming Languages. | Brooks Paige, Frank D. Wood |
| 2013 | ICML | Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data. | Jan-Willem van de Meent, Jonathan E. Bronson, Frank D. Wood, Ruben L. Gonzalez, Chris Wiggins |
| 2011 | DCC | Deplump for Streaming Data. | Nicholas Bartlett, Frank D. Wood |
| 2010 | DCC | Lossless Compression Based on the Sequence Memoizer. | Jan Gasthaus, Frank D. Wood, Yee Whye Teh |
| 2010 | ICML | Forgetting Counts: Constant Memory Inference for a Dependent Hierarchical Pitman-Yor Process. | Nicholas Bartlett, David Pfau, Frank D. Wood |
| 2009 | ICML | A stochastic memoizer for sequence data. | Frank D. Wood, Cdric Archambeau, Jan Gasthaus, Lancelot James, Yee Whye Teh |
| 2006 | UAI | A Non-Parametric Bayesian Method for Inferring Hidden Causes. | Frank D. Wood, Thomas L. Griffiths, Zoubin Ghahramani |