| 2025 | ICRA | Generalizable Imitation Learning Through Pre-Trained Representations. | Wei-Di Chang, Franois Robert Hogan, Scott Fujimoto, David Meger, Gregory Dudek |
| 2025 | IJCNN | Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning. | Zhizun Wang, David Meger |
| 2025 | ICRA | Topological Mapping for Traversability-Aware Long-Range Navigation in Off-Road Terrain. | Jean-Franois Tremblay, Julie Alhosh, Louis Petit, Faraz Lotfi, Lara Landauro, David Meger |
| 2025 | ICRA | Learning Active Tactile Perception Through Belief-Space Control. | Jean-Franois Tremblay, David Meger, Francois Robert Hogan, Gregory Dudek |
| 2024 | ICRA | Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model. | Faraz Lotfi, Khalil Virji, Farnoosh Faraji, Lucas Berry, Andrew Holliday, David Meger, Gregory Dudek |
| 2024 | UAI | Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models. | Lucas Berry, Axel Brando, David Meger |
| 2023 | AAAI | Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling. | Lucas Berry, David Meger |
| 2023 | AAAI | Hypernetworks for Zero-Shot Transfer in Reinforcement Learning. | Sahand Rezaei-Shoshtari, Charlotte Morissette, Franois Robert Hogan, Gregory Dudek, David Meger |
| 2023 | ICRA | ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence. | Dmitriy Rivkin, Gregory Dudek, Nikhil Kakodkar, David Meger, Oliver Limoyo, Michael Jenkin, Xue Liu, Francois Robert Hogan |
| 2022 | AI | Adaptive Confidence Calibration. | David Meger, Jonathan Pearce |
| 2022 | ICML | Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error. | Scott Fujimoto, David Meger, Doina Precup, Ofir Nachum, Shixiang Shane Gu |
| 2022 | ICML | Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning. | Harley E. Wiltzer, David Meger, Marc G. Bellemare |
| 2022 | ICRA | Visuotactile-RL: Learning Multimodal Manipulation Policies with Deep Reinforcement Learning. | Johanna Hansen, Francois Robert Hogan, Dmitriy Rivkin, David Meger, Michael Jenkin, Gregory Dudek |
| 2021 | AAAI | Learning Intuitive Physics with Multimodal Generative Models. | Sahand Rezaei-Shoshtari, Francois Robert Hogan, Michael Jenkin, David Meger, Gregory Dudek |
| 2021 | GLOBECOM | Learning Assisted Identification of Scenarios Where Network Optimization Algorithms Under-Perform. | Dmitriy Rivkin, David Meger, Di Wu, Xi Chen, Xue Liu, Gregory Dudek |
| 2021 | ICML | A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation. | Scott Fujimoto, David Meger, Doina Precup |
| 2021 | IROS | Latent Attention Augmentation for Robust Autonomous Driving Policies. | Ran Cheng, Christopher Agia, Florian Shkurti, David Meger, Gregory Dudek |
| 2021 | IROS | Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain. | Stefan Wapnick, Travis Manderson, David Meger, Gregory Dudek |
| 2021 | ICRA | Multimodal dynamics modeling for off-road autonomous vehicles. | Jean-Franois Tremblay, Travis Manderson, Aurlio Noca, Gregory Dudek, David Meger |
| 2021 | WACV | Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor. | Franois Robert Hogan, Michael Jenkin, Sahand Rezaei-Shoshtari, Yogesh A. Girdhar, David Meger, Gregory Dudek |
| 2020 | ICRA | View-Invariant Loop Closure with Oriented Semantic Landmarks. | Jimmy Li, Karim Koreitem, David Meger, Gregory Dudek |
| 2020 | ICRA | Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images. | Travis Manderson, Stefan Wapnick, David Meger, Gregory Dudek |
| 2020 | IROS | Learning Domain Randomization Distributions for Training Robust Locomotion Policies. | Melissa Mozifian, Juan Camilo Gamboa Higuera, David Meger, Gregory Dudek |
| 2020 | IROS | Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference. | Sahand Rezaei-Shoshtari, David Meger, Inna Sharf |
| 2020 | IROS | PresSense: Passive Respiration Sensing via Ambient WiFi Signals in Noisy Environments. | Yi Tian Xu, Xi Chen, Xue Liu, David Meger, Gregory Dudek |
| 2019 | ICML | Off-Policy Deep Reinforcement Learning without Exploration. | Scott Fujimoto, David Meger, Doina Precup |
| 2019 | ICML | GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects. | Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger |
| 2019 | ICRA | Semantic Mapping for View-Invariant Relocalization. | Jimmy Li, David Meger, Gregory Dudek |
| 2019 | IROS | Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning. | Sahand Rezaei-Shoshtari, David Meger, Inna Sharf |
| 2019 | ICRA | Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks. | Sanjay Thakur, Herke van Hoof, Juan Camilo Gamboa Higuera, Doina Precup, David Meger |
| 2018 | AAAI | OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning. | Peter Henderson, Wei-Di Chang, Pierre-Luc Bacon, David Meger, Joelle Pineau, Doina Precup |
| 2018 | AAAI | Deep Reinforcement Learning That Matters. | Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger |
| 2018 | ICML | Addressing Function Approximation Error in Actor-Critic Methods. | Scott Fujimoto, Herke van Hoof, David Meger |
| 2018 | ICRA | Eager and Memory-Based Non-Parametric Stochastic Search Methods for Learning Control. | Victor Barbaros, Herke van Hoof, Abbas Abdolmaleki, David Meger |
| 2018 | IROS | Cost Adaptation for Robust Decentralized Swarm Behaviour. | Peter Henderson, Matthew Vertescher, David Meger, Mark Coates |
| 2018 | IROS | Synthesizing Neural Network Controllers with Probabilistic Model-Based Reinforcement Learning. | Juan Camilo Gamboa Higuera, David Meger, Gregory Dudek |
| 2017 | CoRL | Improved Adversarial Systems for 3D Object Generation and Reconstruction. | Edward J. Smith, David Meger |
| 2017 | ICRA | Adapting learned robotics behaviours through policy adjustment. | Juan Camilo Gamboa Higuera, David Meger, Gregory Dudek |
| 2017 | IROS | Context-coherent scenes of objects for camera pose estimation. | Jimmy Li, David Meger, Gregory Dudek |
| 2016 | ICRA | Learning to generalize 3D spatial relationships. | Jimmy Li, David Meger, Gregory Dudek |
| 2015 | ICRA | Learning legged swimming gaits from experience. | David Meger, Juan Camilo Gamboa Higuera, Anqi Xu, Philippe Gigure, Gregory Dudek |
| 2014 | IROS | 3D trajectory synthesis and control for a legged swimming robot. | David Meger, Florian Shkurti, David Corts Poza, Philippe Gigure, Gregory Dudek |
| 2013 | ICRA | Overcoming unknown occlusions in eye-in-hand visual search. | Sina Radmard, David Meger, Elizabeth A. Croft, James J. Little |
| 2012 | BMVC | Fine-Grained Categorization for 3D Scene Understanding. | Michael Stark, Jonathan Krause, Bojan Pepik, David Meger, James J. Little, Bernt Schiele, Daphne Koller |
| 2011 | BMVC | Explicit Occlusion Reasoning for 3D Object Detection. | David Meger, Christian Wojek, James J. Little, Bernt Schiele |
| 2011 | IROS | Mobile 3D object detection in clutter. | David Meger, James J. Little |
| 2010 | ACCV | Multiple Viewpoint Recognition and Localization. | Scott Helmer, David Meger, Marius Muja, James J. Little, David G. Lowe |
| 2010 | ICRA | Viewpoint detection models for sequential embodied object category recognition. | David Meger, Ankur Gupta, James J. Little |
| 2009 | ICRA | Inferring a probability distribution function for the pose of a sensor network using a mobile robot. | David Meger, Dimitri Marinakis, Ioannis M. Rekleitis, Gregory Dudek |
| 2008 | ICRA | Informed visual search: Combining attention and object recognition. | Per-Erik Forssn, David Meger, Kevin Lai, Scott Helmer, James J. Little, David G. Lowe |
| 2008 | IROS | Heuristic search planning to reduce exploration uncertainty. | David Meger, Ioannis M. Rekleitis, Gregory Dudek |
| 2007 | AAAI | The UBC Semantic Robot Vision System. | Scott Helmer, David Meger, Per-Erik Forssn, Tristram Southey, Sancho McCann, Pooyan Fazli, Jim Little, David G. Lowe |
| 2007 | AAAI | Hybrid Inference for Sensor Network Localization Using a Mobile Robot. | Dimitri Marinakis, David Meger, Ioannis M. Rekleitis, Gregory Dudek |