David Meger

Mila > À propos de Mila > Équipe > David Meger
Membre Académique Associé
David Meger
Professeur adjoint, McGill University
David Meger

Chercheur en systèmes intelligents visuels. Nous cherchons des positions pour continuer à développer une compréhension visuelle de pointe dans le but de rendre cette technologie adaptée aux systèmes de production tels que les voitures autonomes, la surveillance, l’analyse environnemental et les aides à domicile.

Publications

2021-07

A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
Scott Fujimoto, David Meger and Doina Precup

2021-05

Practical Marginalized Importance Sampling with the Successor Representation
Scott Fujimoto, David Meger and Doina Precup
(venue unknown)
(2021-05-04)
openreview.netPDF

2021-01

Learning Intuitive Physics with Multimodal Generative Models.
Sahand Rezaei-Shoshtari, Francois Robert Hogan, Michael Jenkin, David Meger and Gregory Dudek
Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor
F. R. Hogan, M. Jenkin, S. Rezaei-Shoshtari, Y. Girdhar, D. Meger and G. Dudek

2020-12

Intervention Design for Effective Sim2Real Transfer.
Melissa Mozifian, Amy Zhang, Joelle Pineau and David Meger
arXiv preprint arXiv:2012.02055
(2020-12-03)
ui.adsabs.harvard.eduPDF

2020-11

Multimodal dynamics modeling for off-road autonomous vehicles.
Jean-François Tremblay, Travis Manderson, Aurélio Noca, Gregory Dudek and David Meger
arXiv preprint arXiv:2011.11751
(2020-11-23)
ui.adsabs.harvard.eduPDF
Urban Night Scenery Reconstruction by Day-night Registration and Synthesis
Andi Dai and David Meger
SIGSPATIAL 2020
(2020-11-03)
dl.acm.org

2020-10

PresSense: Passive Respiration Sensing via Ambient WiFi Signals in Noisy Environments
Yi Tian Xu, Xi Chen, Xue Liu, David Meger and Gregory Dudek
IROS 2020
(2020-10-24)
dblp.uni-trier.de
Learning Domain Randomization Distributions for Training Robust Locomotion Policies
Melissa Mozian, Juan Camilo Gamboa Higuera, David Meger and Gregory Dudek
IROS 2020
(2020-10-24)
dblp.uni-trier.dePDF
Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference
Sahand Rezaei-Shoshtari, David Meger and Inna Sharf

2020-08

Dynamic planning of redundant robots within a set-based task-priority inverse kinematics framework
Daniele Di Vito, Mathieux Bergeron, David Meger, Gregory Dudek and Gianluca Antonelli
2020 IEEE Conference on Control Technology and Applications (CCTA)
(2020-08-01)
doi.org

2020-07

Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles
Travis Manderson, Juan Camilo Gamboa Higuera, Stefan Wapnick, Jean-François Tremblay, Florian Shkurti, David Meger and Gregory Dudek
3D Shape Reconstruction from Vision and Touch
Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik and Michal Drozdzal

2020-05

View-Invariant Loop Closure with Oriented Semantic Landmarks
Jimmy Li, Karim Koreitem, David Meger and Gregory Dudek
ICRA 2020
(2020-05-01)
dblp.uni-trier.de
Depth Prediction for Monocular Direct Visual Odometry
Ran Cheng, Christopher Agia, David Meger and Gregory Dudek
CRV 2020
(2020-05-01)
www.computer.org

2020-04

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 and Gregory Dudek

2020-01

An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay
Scott Fujimoto, David Meger and Doina Precup

2019-12

Detecting GAN generated errors.
Xiru Zhu, Fengdi Che, Tianzi Yang, Tzu-Yang Yu, David Meger and Gregory Dudek
arXiv preprint arXiv:1912.00527
(2019-12-02)
ui.adsabs.harvard.eduPDF

2019-11

Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning
Sahand Rezaei-Shoshtari, David Meger and Inna Sharf

2019-10

Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales.
Sanjay Thakur, Herke Van Hoof, Gunshi Gupta and David Meger
arXiv preprint arXiv:1910.10367
(2019-10-23)
ui.adsabs.harvard.eduPDF
Deep learning for Aerosol Forecasting.
Caleb Hoyne, S. Karthik Mukkavilli and David Meger
arXiv preprint arXiv:1910.06789
(2019-10-14)
ui.adsabs.harvard.eduPDF

2019-06

Learning Domain Randomization Distributions for Training Robust Locomotion Policies
Melissa Mozifian, Juan Camilo Gamboa Higuera, David Meger and Gregory Dudek
arXiv: Learning
(2019-06-02)
ui.adsabs.harvard.eduPDF
Learning Domain Randomization Distributions for Transfer of Locomotion Policies.
Melissa Mozifian, Juan Camilo Gamboa Higuera, David Meger and Gregory Dudek
(venue unknown)
(2019-06-02)
dblp.uni-trier.dePDF

2019-05

GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
Edward J. Smith, Scott Fujimoto, Adriana Romero and David Meger
Semantic Mapping for View-Invariant Relocalization
ICRA 2019
(2019-05-20)
doi.org
Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks
Sanjay Thakur, Herke van Hoof, Juan Camilo Gamboa Higuera, Doina Precup and David Meger

2019-04

Human Motion Prediction Via Pattern Completion in Latent Representation Space
Yi Tian Xu, Yaqiao Li and David Meger

2018-12

Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto, David Meger and Doina Precup
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
Edward Smith, Scott Fujimoto and David Meger
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF

2018-11

Navigation in the Service of Enhanced Pose Estimation
Travis Manderson, Ran Cheng, David Meger and Gregory Dudek
ISER 2018
(2018-11-05)
link.springer.com

2018-09

Where Off-Policy Deep Reinforcement Learning Fails
Scott Fujimoto, David Meger and Doina Precup
(venue unknown)
(2018-09-27)
openreview.netPDF

2018-02

OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning
Peter Henderson, Wei-Di Chang, Pierre-luc Bacon, David Meger, Joelle Pineau and Doina Precup
AAAI 2018
(2018-02-07)
ui.adsabs.harvard.eduPDF
Deep Reinforcement Learning that Matters
Peter Henderson, Riashat Islam, Joelle Pineau, David Meger, Doina Precup and Philip Bachman
AAAI 2018
(2018-02-07)
ui.adsabs.harvard.eduPDF

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