Quickstart Guide

Click here to return to the repository website that shows instructions on how to use and customize this UBC CS faculty and course static website generator yourself. Browse the markdown files in particular (.md file extension; start with index.md – make sure you view the raw source).

Browse the remainder of this demonstration website to gain a sense of what can be easily and efficiently generated and maintained (like $x^2 + 1 = 17$, while(true) ++i, and the references below).

About Me

I am an associate professor of computer science at the University of British Columbia.

Research Interests

My primary research areas are probabilistic programming and applied statistical machine learning. My research interests range from the development of new probabilistic models and inference algorithms to real-world applications. My research contributions include probabilistic programming systems, new models and inference algorithms, and novel applications of such models to problems in neuroscience, natural language processing, robotics, and compression.

Selected Publications

  1. van de Meent, J.-W., Paige, B., Yang, H., & Wood, F. (2018). An introduction to probabilistic programming. ArXiv Preprint ArXiv:1809.10756. BIB PDF 
    @article{van2018introduction,
  title = {An introduction to probabilistic programming},
  author = {van de Meent, Jan-Willem and Paige, Brooks and Yang, Hongseok and Wood, Frank},
  journal = {arXiv preprint arXiv:1809.10756},
  year = {2018}
}
  2. Masrani, V., Le, T. A., & Wood, F. (2019). The Thermodynamic Variational Objective. ArXiv Preprint ArXiv:1907.00031. BIB PDF 
    @article{masrani2019thermodynamic,
  title = {The Thermodynamic Variational Objective},
  author = {Masrani, Vaden and Le, Tuan Anh and Wood, Frank},
  journal = {arXiv preprint arXiv:1907.00031},
  year = {2019}
}
  3. Le, T. A., Kosiorek, A. R., Siddharth, N., Teh, Y. W., & Wood, F. (2019). Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow. BIB PDF 
    @article{le2019revisiting,
  title = {Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow},
  author = {Le, Tuan Anh and Kosiorek, Adam R and Siddharth, N and Teh, Yee Whye and Wood, Frank},
  year = {2019},
  publisher = {Association for Uncertainty in Artificial Intelligence}
}
  4. Siddarth, N., Paige, B., Desmaison, A., van de Meent, J. W., Goodman, N., Kohli, P., … Torr, P. H. S. (2017). Learning Disentangled Representations with Semi-Supervised Deep Generative Models. In NIPS. BIB PDF 
    @inproceedings{iffsidnips2017,
  title = {Learning Disentangled Representations with Semi-Supervised Deep Generative Models},
  author = {Siddarth, N. and Paige, B. and Desmaison, A. and van~de~Meent, J.W. and Goodman, N. and Kohli, P. and Wood, F. and Torr, P.H.S},
  booktitle = {NIPS},
  year = {2017}
}
  5. Le, T. A., Baydin, A. G., & Wood, F. (2017). Inference Compilation and Universal Probabilistic Programming. In AISTATS. BIB PDF 
    @inproceedings{le2016inference,
  author = {Le, Tuan Anh and Baydin, Atılım Güneş and Wood, Frank},
  booktitle = {AISTATS},
  title = {Inference {C}ompilation and {U}niversal {P}robabilistic {P}rogramming},
  year = {2017},
  file = {../assets/pdf/le2016inference.pdf},
  link = {https://arxiv.org/abs/1610.09900}
}