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Christopher Pal

Christopher Pal

Distinguished Scientist

AI Research Partnerships & Ecosystem​

Leadership team

Christopher Pal is a Full Professor at Polytechnique Montréal, a Canada CIFAR AI Chair, an adjunct professor in the Department of Computer Science and Operations Research (DIRO) at the Université de Montréal. He is also a Distinguished Scientist at ServiceNow Research. He has been involved in AI and machine learning research for over twenty-five years and has published extensively on key aspects of artificial intelligence, machine learning and deep learning, including work on: large language models (LLMs), reasoning, robotics, computer vision, and generative modelling techniques. He has a PhD in computer science from the University of Waterloo, is associated with the IVADO, and is one of the core founding faculty members of Mila, the Quebec AI Institute.  

Intérêts
  • Machine Learning
  • Computer Vision
  • Natural Language Processing
  • Reinforcement Learning
  • Deep Learning

Publications

Attention-based Neural Cellular Automata. Conference on Neural Information Processing Systems (NeurIPS),  2022.

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Neural Attentive CIrcuits. Conference on Neural Information Processing Systems (NeurIPS),  2022.

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DuoRAT: Towards Simpler Text-to-SQL Models. North American Chapter of the Association for Computational Linguistics (NAACL),  2021.

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Real-Time Reinforcement Learning. Conference on Neural Information Processing Systems (NeurIPS),  2019.

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Structure Learning for Neural Module Networks. Annual Meeting of the Association for Computational Linguistics (ACL),  2019.

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Planning with Latent SImulated Trajectories. Workshop at the International Conference on Learning Representations (ICLR),  2019.

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Recurrent Transition Networks for Character Locomotion. Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia),  2018.

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