David Meger

Orcid: 0009-0008-6180-0032

According to our database1, David Meger authored at least 98 papers between 2006 and 2024.

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Bibliography

2024
Policy Gradient Methods in the Presence of Symmetries and State Abstractions.
J. Mach. Learn. Res., 2024

Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning.
CoRR, 2024

Topological mapping for traversability-aware long-range navigation in off-road terrain.
CoRR, 2024

Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models.
CoRR, 2024

Constrained Robotic Navigation on Preferred Terrains Using LLMs and Speech Instruction: Exploiting the Power of Adverbs.
CoRR, 2024

Imitation Learning from Observation through Optimal Transport.
RLJ, 2024

Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Learning active tactile perception through belief-space control.
CoRR, 2023

Generalizable Imitation Learning Through Pre-Trained Representations.
CoRR, 2023

Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning.
CoRR, 2023

Escaping the Sample Trap: Fast and Accurate Epistemic Uncertainty Estimation with Pairwise-Distance Estimators.
CoRR, 2023

ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence.
CoRR, 2023

For SALE: State-Action Representation Learning for Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Hypernetworks for Zero-Shot Transfer in Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
NeurIPS 2022 Competition: Driving SMARTS.
CoRR, 2022

Bayesian Q-learning With Imperfect Expert Demonstrations.
CoRR, 2022

Uncertainty-Driven Active Vision for Implicit Scene Reconstruction.
CoRR, 2022

IL-flOw: Imitation Learning from Observation using Normalizing Flows.
CoRR, 2022

Continuous MDP Homomorphisms and Homomorphic Policy Gradient.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Visuotactile-RL: Learning Multimodal Manipulation Policies with Deep Reinforcement Learning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2022

Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error.
Proceedings of the International Conference on Machine Learning, 2022

Adaptive Confidence Calibration.
Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022

2021
An Autonomous Probing System for Collecting Measurements at Depth from Small Surface Vehicles.
CoRR, 2021

Active 3D Shape Reconstruction from Vision and Touch.
CoRR, 2021

Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Active 3D Shape Reconstruction from Vision and Touch.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Latent Attention Augmentation for Robust Autonomous Driving Policies.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Multimodal dynamics modeling for off-road autonomous vehicles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Assisted Identification of Scenarios Where Network Optimization Algorithms Under-Perform.
Proceedings of the IEEE Global Communications Conference, 2021

Robotic Object Manipulation with Full-Trajectory GAN-Based Imitation Learning.
Proceedings of the 18th Conference on Robots and Vision, 2021

Learning Intuitive Physics with Multimodal Generative Models.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Intervention Design for Effective Sim2Real Transfer.
CoRR, 2020

Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles.
Proceedings of the Robotics: Science and Systems XVI, 2020

3D Shape Reconstruction from Vision and Touch.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

PresSense: Passive Respiration Sensing via Ambient WiFi Signals in Noisy Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning Domain Randomization Distributions for Training Robust Locomotion Policies.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

View-Invariant Loop Closure with Oriented Semantic Landmarks.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Urban Night Scenery Reconstruction by Day-night Registration and Synthesis.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Depth Prediction for Monocular Direct Visual Odometry.
Proceedings of the 17th Conference on Computer and Robot Vision, 2020

Dynamic planning of redundant robots within a set-based task-priority inverse kinematics framework.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

2019
Detecting GAN generated errors.
CoRR, 2019

Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales.
CoRR, 2019

Deep learning for Aerosol Forecasting.
CoRR, 2019

Learning Domain Randomization Distributions for Transfer of Locomotion Policies.
CoRR, 2019

Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks.
Proceedings of the International Conference on Robotics and Automation, 2019

Semantic Mapping for View-Invariant Relocalization.
Proceedings of the International Conference on Robotics and Automation, 2019

GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects.
Proceedings of the 36th International Conference on Machine Learning, 2019

Off-Policy Deep Reinforcement Learning without Exploration.
Proceedings of the 36th International Conference on Machine Learning, 2019

Human Motion Prediction Via Pattern Completion in Latent Representation Space.
Proceedings of the 16th Conference on Computer and Robot Vision, 2019

2018
Resolving Occlusion in Active Visual Target Search of High-Dimensional Robotic Systems.
IEEE Trans. Robotics, 2018

3D Object Super-Resolution.
CoRR, 2018

Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Navigation in the Service of Enhanced Pose Estimation.
Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Synthesizing Neural Network Controllers with Probabilistic Model-Based Reinforcement Learning.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Cost Adaptation for Robust Decentralized Swarm Behaviour.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Eager and Memory-Based Non-Parametric Stochastic Search Methods for Learning Control.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Addressing Function Approximation Error in Actor-Critic Methods.
Proceedings of the 35th International Conference on Machine Learning, 2018

Semantic Scene Models for Visual Localization under Large Viewpoint Changes.
Proceedings of the 15th Conference on Computer and Robot Vision, 2018

Deep Reinforcement Learning That Matters.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Robotic Coral Reef Health Assessment Using Automated Image Analysis.
J. Field Robotics, 2017

Bayesian Policy Gradients via Alpha Divergence Dropout Inference.
CoRR, 2017

Benchmark Environments for Multitask Learning in Continuous Domains.
CoRR, 2017

Context-coherent scenes of objects for camera pose estimation.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Adapting learned robotics behaviours through policy adjustment.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Improved Adversarial Systems for 3D Object Generation and Reconstruction.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016
Learning to generalize 3D spatial relationships.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Learning legged swimming gaits from experience.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Towards Autonomous Robotic Coral Reef Health Assessment.
Proceedings of the Field and Service Robotics, 2015

2014
3D trajectory synthesis and control for a legged swimming robot.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Trajectory Inference Using a Motion Sensing Network.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2014

2013
Overcoming unknown occlusions in eye-in-hand visual search.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012
The UBC Visual Robot Survey: A Benchmark for Robot Category Recognition.
Proceedings of the Experimental Robotics, 2012

Fine-Grained Categorization for 3D Scene Understanding.
Proceedings of the British Machine Vision Conference, 2012

Overcoming occlusions in eye-in-hand visual search.
Proceedings of the American Control Conference, 2012

2011
Mobile 3D object detection in clutter.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Explicit Occlusion Reasoning for 3D Object Detection.
Proceedings of the British Machine Vision Conference, 2011

2010
Viewpoint detection models for sequential embodied object category recognition.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Curious George: An Integrated Visual Search Platform.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2010

Multiple Viewpoint Recognition and Localization.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
Semantic Robot Vision Challenge: Current State and Future Directions
CoRR, 2009

Inferring a probability distribution function for the pose of a sensor network using a mobile robot.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Automated Spatial-Semantic Modeling with Applications to Place Labeling and Informed Search.
Proceedings of the Sixth Canadian Conference on Computer and Robot Vision, 2009

2008
Curious George: An attentive semantic robot.
Robotics Auton. Syst., 2008

Heuristic search planning to reduce exploration uncertainty.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Informed visual search: Combining attention and object recognition.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2007
Hybrid Inference for Sensor Network Localization Using a Mobile Robot.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

The UBC Semantic Robot Vision System.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Simultaneous planning, localization, and mapping in a camera sensor network.
Robotics Auton. Syst., 2006


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