Pascal Poupart's Homepage

Current Graduate Students and Postdoctoral Fellows

• Postdoctoral Fellows
• Sriram Ganapathi Subramanian
• Agustinus Kristiadi
• PhD students
• Ashish Gaurav
• Cynthia Huang
• William Loh
• Yudong Luo
• YanTing Miao
• Ahmad Rashid
• Gustavo Sutter
• Ankit Vadehra
• Haolin Yu
• Shuhui Zhu
• Master's students
• Hossein Mohebbi
• Justin Xu
• Zehao Zhang

Past Graduate Students and Postdoctoral Fellows

• Kira Selby
  Ph.D. thesis (completed April 2024)
  Distributions in Semantic Spaces
• Gustavo Sutter Pessurno de Carvalho (PhD Student at University of Waterloo)
  M.Math. thesis (completed December 2023)
  Multilingual Grammatical Error Detection And Its Applications to Prompt-Based Correction
• Yueheng Zhang (Vector Intern)
  M.Math. thesis (completed August 2023)
  Incorporating Linear Dependencies into Graph Gaussian Processes
• Mohsin Hasan (PhD student at MILA)
  M.Math. thesis (completed August 2023)
  Bayesian Federated Learning in Predictive Space
• Runcheng (Irene) Liu (Software Engineer at Qualcomm)
  M.Math. thesis (completed December 2022)
  Prompt Tuning in Controlled Dialogue Generation
• Guiliang Liu (Assistant Professor at the Chinese University of Hong Kong (CUHK) in Shenzhen)
  Postdoctoral fellow (October 2020 - October 2022)
• Haolin Yu (PhD student at U of Waterloo)
  M.Math. thesis (completed August 2022)
  Learning Privacy-Friendly Global Gaussian Processes in Federated Learning
• Zaid Hassan Chaudhry
  M.Math. thesis (completed April 2022)
  Multi-resolution and Asymmetric Implementation of Attention in Transformers
• Elliot Nelson (Research Scientist at IBM)
  M.Math. thesis (completed January 2022)
  Linearizing Contextual Multi-Armed Bandit Problems with Latent Dynamics
• Guojun (Gordon) Zhang (Research Scientist at Huawei Canada)
  Ph.D. thesis (completed July 2021)
  Understanding Minimax Optimization in Modern Machine Learning
• Haonan Duan (PhD student at University of Toronto)
  M.Math. thesis (completed July 2021)
  Method of Moments in Approximate Bayesian Inference: From Theory to Practice
• Ashutosh Adhikari (Software Engineer at Microsoft)
  M.Math. thesis (completed December 2020)
  Generalization on Text-based Games using Structured Belief Representations
• Amur Ghose (Research Scientist at Huawei Canada)
  M.Math. thesis (completed August 2020)
  Entropy-based aggregate posterior alignment techniques for deterministic autoencoders and implications for adversarial examples
• Abdullah Rashwan (Software Engineer at Google Brain)
  Postdoctoral Fellow (October 2019 - February 2020)
• Priyank Jaini (Research Scientist at Google Brain)
  Ph.D. thesis (completed December 2019)
  Likelihood-based Density Estimation using Deep Architectures
• Nabiha Asghar (Software Engineer at Microsoft)
  Ph.D. thesis (completed December 2019)
  Emotion-Aware and Human-Like Autonomous Agents
• Abdullah Rashwan (Software Engineer at Google Brain)
  Ph.D. thesis (completed September 2019)
  Parameter and Structure Learning Techniques for Sum Product Networks
• Timmy Tse (PhD student at ETH Zurich)
  M.Math. thesis (completed June 2019)
  Model Based Bayesian Sparse Sampling for Data Efficient Control
• Pan Pan Cheng
  Master's essay (completed May 2019)
  Study of Deconvolutional Sentence Reconstruction
• Brandon Alcox (Software Developer HockeyTech)
  Master's thesis (completed January 2019)
  Applications of Artificial Intelligence to the NHL Entry Draft
• Ricardo Salmon (Machine Learning Engineer at Pinnacle Sports)
  Ph.D. thesis (completed September 2018)
  On the Relationship between Satisfiability and Partially Observable Markov Decision Processes
• Kira Selby (PhD student at U of Waterloo)
  Master's thesis (completed August 2018)
  Incorporating Memory into Deep Generative Dialog Models using a Scalable Attention Mechanism
• Lili Mou (Assistant Professor at University of Alberta)
  Postdoctoral fellow (August 2017 - April 2018)
• Alexandra Wytsma (Data Scientist at Shopify)
  Master's thesis (completed August 2017)
  Naive Bayes Data Complexity and Characterization of Optima of the Unsupervised Expected Likelihood
• Mazen Melibari (Assistant Professor at Umm Al-Qura University, Saudi Arabia)
  Ph.D. thesis (completed June 2016)
  Directly Learning Tractable Models for Sequential Inference and Decision Making
• Farheen Omar (Software Engineer at Microsoft)
  Ph.D. thesis (completed April 2016)
  Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications
• Han Zhao (Assistant Professor at University of Illinois at Urbana Champaign) (Recipient of the Fall 2015 Alumni Gold Medal Award)
  Master's thesis (completed June 2015)
  On the Relationship Between Sum-Product Networks and Bayesian Networks
• Marek Grzes (Lecturer in the School of Computing at the University of Kent, UK -- equivalent to Assistant Professor in North America)
  Postdoctoral fellow (2013-2015)
• James Tung (Assistant Professor in the Department of Mechanical Engineering and Mechatronics at the University of Waterloo)
  Postdoctoral fellow (2010-2014)
• Omar Zia Khan (Software Engineer at Amazon)
  Ph.D. Thesis (completed August 2013)
  Policy Explanation and Model Refinement in Decision-Theoretic Planning
• Robby Goetschalckx (Postdoctoral Fellow at Oregon State University)
  Postdoctoral fellow (2011-2012)
• Mathieu Sinn (Research Scientist at IBM Research in Dublin)
  Postdoctoral fellow (2009-2011)
• Ting Liu (Software Engineer at Google)
  M.Math Thesis (completed August 2011)
  Bayesian Unsupervised Labeling of Web Document Clusters
• Richard Hu (Software Engineer at Microsoft)
  M.Math Thesis (completed July 2011)
  Vision-Based Observation Models for Lower Limb 3D Tracking with a Moving Platform
• Milen Pavlov (Software Engineer at Wireless Generation)
  M.Math Thesis (completed May 2008)
  Towards Global Reinforcement Learning
• Dimitri Mostinski (Software Engineer at Blackberry)
  M.Math Thesis (completed May 2007)
  Dynamic Factored Particle Filtering for Context-Specific Correlations
• Leila Chinaei (Laboratory and Course Coordinator of Carleton University)
  M.Math Thesis (completed May 2007)
  Active Learning with Semi-Supervised Support Vector Machines
• Laurent Charlin (Assistant Professor at Ecole Polytechnique de Montreal)
  M.Math Thesis (completed December 2006)
  Automated Hierarchy Discovery for Planning in Partially Observable Domains
• Andy Chiu (Software Engineer at Google)
  M.Math Thesis (completed October 2006)
  From Atoms to the Solar System: Generating Lexical Analogies from Text