Uncertainty Aware Learning From Demonstration

Media Summary: Sungjoon Choi, Kyungjae Lee, Sungbin Lim, Songhwai Oh, " Uncertainty-aware Learning from Demonstration to Drive Training Uncertainty-Aware Classifiers with Conformalized Deep Learning

Uncertainty Aware Learning From Demonstration - Detailed Analysis & Overview

Sungjoon Choi, Kyungjae Lee, Sungbin Lim, Songhwai Oh, " Uncertainty-aware Learning from Demonstration to Drive Training Uncertainty-Aware Classifiers with Conformalized Deep Learning Dr. Malachi Schram is the head of the data scientist department at the Thomas Jefferson National Accelerator Facility. Model-based control requires an accurate model of the system dynamics for precisely and safely controlling the robot in complex ... Authors: Abdelrahman Eldesokey, Michael Felsberg, Karl Holmquist, Michael Persson Description: The focus in deep

Under review IEEE Transactions on Robotics (T-RO) arXiv: Code: Authors: Yansong Tang, Zanlin Ni, Jiahuan Zhou, Danyang Zhang, Jiwen Lu, Ying Wu, Jie Zhou Description: Assessing action ... This is the updated version of our previous upload. Timeline: 00:17 Introduction to Model-based Reinforcement Authors: João Silvério, Yanlong Huang, Fares Abu-Dakka, Leonel Rozo, Darwin Caldwell. Submitted to the IEEE/RSJ ... IROS 2019, manuscript: End-to-end visual-based imitation Authors: Peter J.T. Kampen, Marcel Reimann, Morten Rieger Hannemose, Anders Nymark Christensen, Miriam Kolko, Anders ...

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Uncertainty-Aware Learning from Demonstration

Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Vari

Uncertainty-aware Learning from Demonstration to Drive

U-ARE-ME: Uncertainty-Aware Rotation Estimation in Manhattan Environments

Training Uncertainty-Aware Classifiers with Conformalized Deep Learning

Continual Learning for Traversability Prediction with Uncertainty-Aware Adaptation

Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations

Uncertainty Aware Machine Learning for Accelerators

Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control

Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End

Uncertainty-Aware Food Recognition by Deep Learning | University of Barcelona

DYNUS: Uncertainty-aware Trajectory Planner in Dynamic Unknown Environments

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Uncertainty-Aware Learning from Demonstration

Uncertainty-Aware Learning from Demonstration

Sungjoon Choi, Kyungjae Lee, Sungbin Lim, Songhwai Oh, "

Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Vari

Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Vari

ICRA 2018 Spotlight

Uncertainty-aware Learning from Demonstration to Drive

Uncertainty-aware Learning from Demonstration to Drive

Uncertainty-aware Learning from Demonstration to Drive

U-ARE-ME: Uncertainty-Aware Rotation Estimation in Manhattan Environments

U-ARE-ME: Uncertainty-Aware Rotation Estimation in Manhattan Environments

Accompanying

Training Uncertainty-Aware Classifiers with Conformalized Deep Learning

Training Uncertainty-Aware Classifiers with Conformalized Deep Learning

Training Uncertainty-Aware Classifiers with Conformalized Deep Learning

Continual Learning for Traversability Prediction with Uncertainty-Aware Adaptation

Continual Learning for Traversability Prediction with Uncertainty-Aware Adaptation

Continual

Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations

Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations

Video

Uncertainty Aware Machine Learning for Accelerators

Uncertainty Aware Machine Learning for Accelerators

Dr. Malachi Schram is the head of the data scientist department at the Thomas Jefferson National Accelerator Facility.

Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control

Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control

Model-based control requires an accurate model of the system dynamics for precisely and safely controlling the robot in complex ...

Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End

Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End

Authors: Abdelrahman Eldesokey, Michael Felsberg, Karl Holmquist, Michael Persson Description: The focus in deep

Uncertainty-Aware Food Recognition by Deep Learning | University of Barcelona

Uncertainty-Aware Food Recognition by Deep Learning | University of Barcelona

Get the slides: https://www.datacouncil.ai/talks/

DYNUS: Uncertainty-aware Trajectory Planner in Dynamic Unknown Environments

DYNUS: Uncertainty-aware Trajectory Planner in Dynamic Unknown Environments

Under review IEEE Transactions on Robotics (T-RO) arXiv: http://arxiv.org/abs/2504.16734 Code: https://github.com/mit-acl/dynus ...

Uncertainty-Aware Score Distribution Learning for Action Quality Assessment

Uncertainty-Aware Score Distribution Learning for Action Quality Assessment

Authors: Yansong Tang, Zanlin Ni, Jiahuan Zhou, Danyang Zhang, Jiwen Lu, Ying Wu, Jie Zhou Description: Assessing action ...

Uncertainty-Aware Deep Neural Network Training for Imbalanced Geochemical Data Distributions

Uncertainty-Aware Deep Neural Network Training for Imbalanced Geochemical Data Distributions

Discover the cutting-edge approach to

Uncertainty-aware Contact-safe Model-based Reinforcement Learning

Uncertainty-aware Contact-safe Model-based Reinforcement Learning

This is the updated version of our previous upload. Timeline: 00:17 Introduction to Model-based Reinforcement

Uncertainty-Aware Imitation Learning Using KMPs

Uncertainty-Aware Imitation Learning Using KMPs

Authors: João Silvério, Yanlong Huang, Fares Abu-Dakka, Leonel Rozo, Darwin Caldwell. Submitted to the IEEE/RSJ ...

CoRL 2020, Spotlight Talk 361: Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Pla...

CoRL 2020, Spotlight Talk 361: Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Pla...

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Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective

Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective

IROS 2019, manuscript: https://arxiv.org/abs/1903.00821 End-to-end visual-based imitation

Uncertainty-aware Navigation in NGSIM

Uncertainty-aware Navigation in NGSIM

Uncertainty-aware Navigation in NGSIM

Uncertainty-Aware Classification: A Human-Guided Bayesian Deep Learning Framework

Uncertainty-Aware Classification: A Human-Guided Bayesian Deep Learning Framework

Authors: Peter J.T. Kampen, Marcel Reimann, Morten Rieger Hannemose, Anders Nymark Christensen, Miriam Kolko, Anders ...

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