Liam Paull
Appointment
Canada CIFAR AI Chair
National Program Committee member
Pan-Canadian AI Strategy
About
Appointed Canada CIFAR AI Chair -2019
Liam Paull is a Canada CIFAR AI Chair at Mila and an associate professor in the Department of Computer Science and Operations Research (DIRO) at the Université de Montréal.
Paull’s research focuses on representation learning for robotics, uncertainty quantification in deep neural networks, and robot learning, with applications in autonomous driving and mobile manipulation.
Awards
- CS-Can/Info-Can Outstanding Early Career Computer Science Researcher Award, 2023
- Best Paper Award, IEEE Robotics and Automation Letters, 2020
Relevant Publications
- Zhen Liu, Yao Feng, Yuliang Xiu, Weiyang Liu, Liam Paull, Michael J. Black, Bernhard Zhen Liu, Yao Feng, Yuliang Xiu, Weiyang Liu, Liam Paull, Michael J. Black, Bernhard Schölkopf. « Ghost on the Shell: An Expressive Representation of General 3D Shapes ». Publié dans Actes de la Conférence internationale sur l’apprentissage par représentation. 2024.. “Ghost on the Shell: An Expressive Representation of General 3D Shapes”. International Conference on Learning Representations (ICLR). 2024.
- Sacha Morin, Miguel Saavedra-Ruiz, Liam Paull. “One-4-All: Neural Potential Fields for Embodied Navigation”. IEEE/RSJ International Conference on Intelligent Robots and Systems. 2023.
- Rey Reza Wiyatno, Anqi Xu, Liam Paull. “Lifelong Topological Visual Navigation”. IEEE Robotics and Automation Letters. vol. 7, no. 4, p9271-9278, Oct. 2022.
- Teddy Ort, Krishna Murthy, Rohan Banerjee, Sai Krishna Gottipati, Dhaivat Bhatt, Igor Gilitschenski, Liam Paull, Daniela Rus. “Maplite: Autonomous Intersection Navigation without a Detailed Prior Map.” IEEE Robotics and Automation Letters. vol. 5, no. 2, p556-563, April 2020.
Paull, L., Tani, J., Ahn, H., Alonso-Mora, J., Carlone, L., Cap, M., … & Censi, A. (2017). Duckietown: an open, inexpensive and flexible platform for autonomy education and research. In 2017 IEEE International Conference on Robotics and Automation (ICRA) (pp. 1497-1504). IEEE.
Paull, L., Saeedi, S., Seto, M., & Li, H. (2014). AUV navigation and localization: A review. IEEE Journal of oceanic engineering, 39(1), 131-149.