Retour à l'annuaire 
2021-05
Practical Marginalized Importance Sampling with the Successor Representation
2021-01
2020-12
2020-11
Multimodal dynamics modeling for off-road autonomous vehicles.
Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor.
Urban Night Scenery Reconstruction by Day-night Registration and Synthesis.
2020-10
Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference
Learning Domain Randomization Distributions for Training Robust Locomotion Policies
2020-08
Dynamic planning of redundant robots within a set-based task-priority inverse kinematics framework
2020-07
Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference.
Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay.
3D Shape Reconstruction from Vision and Touch.
2020-05
View-Invariant Loop Closure with Oriented Semantic Landmarks
Depth Prediction for Monocular Direct Visual Odometry
2020-04
Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images
Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images
2020-01
Seeing Through Your Skin: Recognizing Objects With a Novel Visuotactile Sensor
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
(2020-01-01)
openaccess.thecvf.comPDF3D Shape Reconstruction from Vision and Touch
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay
2019-12
Detecting GAN generated errors.
2019-11
Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning
2019-10
Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales.
Deep learning for Aerosol Forecasting
2019-06
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
Off-Policy Deep Reinforcement Learning without Exploration
Learning Domain Randomization Distributions for Training Robust Locomotion Policies
Learning Domain Randomization Distributions for Transfer of Locomotion Policies.
2019-05
Semantic Mapping for View-Invariant Relocalization
Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks
2019-04
Human Motion Prediction Via Pattern Completion in Latent Representation Space
2019-01
2018-12
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
2018-11
Navigation in the Service of Enhanced Pose Estimation
2018-09
Where Off-Policy Deep Reinforcement Learning Fails
2018-02
OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning
Deep Reinforcement Learning that Matters
Publications collected and formatted using Paperoni
