Dr. Frank Wood

About

I am an associate professor of computer science at the University of British Columbia and a Canada CIFAR AI Chair at AMII. I direct the Pacific Laboratory for Artificial Intelligence (PLAI) research group. I also am a founder of Inverted AI, a PLAI group spin-out focused on advanced simulation technology for the autonomous vehicle industry. I also lead the plaicraft.ai emodied AI research project.

Selected publications

• Harvey, W., Naderiparizi, S., Masrani, V., Weilbach, C., & Wood, F. (2022). Flexible Diffusion Modeling of Long Videos. Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS). BIB PDF @inproceedings{harvey2022flexible, title = {Flexible Diffusion Modeling of Long Videos}, author = {Harvey, William and Naderiparizi, Saeid and Masrani, Vaden and Weilbach, Christian and Wood, Frank}, booktitle = {Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS)}, archiveprefix = {arXiv}, eprint = {2205.11495}, year = {2022} }
• Lioutas, V., Lavington, J. W., Sefas, J., Niedoba, M., Liu, Y., Zwartsenberg, B., Dabiri, S., Wood, F., & Ścibior, A. (2022). Critic Sequential Monte Carlo. ArXiv Preprint ArXiv:2205.15460. BIB PDF @inproceedings{lioutas2022critic, title = {Critic Sequential Monte Carlo}, author = {Lioutas, Vasileios and Lavington, Jonathan Wilder and Sefas, Justice and Niedoba, Matthew and Liu, Yunpeng and Zwartsenberg, Berend and Dabiri, Setareh and Wood, Frank and {\'S}cibior, Adam}, journal = {arXiv preprint arXiv:2205.15460}, year = {2022} }
• 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} }
• Siddarth, N., Paige, B., Desmaison, A., van de Meent, J. W., Goodman, N., Kohli, P., Wood, F., & Torr, P. H. S. (2017). Learning Disentangled Representations with Semi-Supervised Deep Generative Models. 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} }
• Le, T. A., Baydin, A. G., & Wood, F. (2017). Inference Compilation and Universal Probabilistic Programming. 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} }