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Adapting Neural Models with Sequential Monte Carlo Dropout


Oct 27, 2022
Pamela Carreno-Medrano, Dana Kulić, Michael Burke

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* CoRL 2022 

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Learning robotic cutting from demonstration: Non-holonomic DMPs using the Udwadia-Kalaba method


Sep 24, 2022
Artūras Straižys, Michael Burke, Subramanian Ramamoorthy

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Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation


Sep 17, 2021
Emma Perkins, Chiranjibi Sitaula, Michael Burke, Faezeh Marzbanrad

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* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. 17 Pages, 9 tables, 9 figures 

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Vision-based system identification and 3D keypoint discovery using dynamics constraints


Sep 13, 2021
Miguel Jaques, Martin Asenov, Michael Burke, Timothy Hospedales

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Learning data association without data association: An EM approach to neural assignment prediction


May 02, 2021
Michael Burke, Subramanian Ramamoorthy

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IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates


Nov 30, 2020
Tatiana Lopez-Guevara, Michael Burke, Nicholas K. Taylor, Kartic Subr

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Residual Learning from Demonstration


Aug 18, 2020
Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy

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Action sequencing using visual permutations


Aug 03, 2020
Michael Burke, Kartic Subr, Subramanian Ramamoorthy

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NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces


Jun 02, 2020
Miguel Jaques, Michael Burke, Timothy Hospedales

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Learning robotic ultrasound scanning using probabilistic temporal ranking


Feb 04, 2020
Michael Burke, Katie Lu, Daniel Angelov, Artūras Straižys, Craig Innes, Kartic Subr, Subramanian Ramamoorthy

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