Burke, Michael

6 publications

CoRL 2022 Adapting Neural Models with Sequential Monte Carlo Dropout Pamela Carreno, Dana Kulic, Michael Burke

L4DC 2022 Vision-Based System Identification and 3D Keypoint Discovery Using Dynamics Constraints Miguel Jaques, Martin Asenov, Michael Burke, Timothy Hospedales

CVPR 2021 NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces Miguel Jaques, Michael Burke, Timothy M. Hospedales

ICLR 2020 Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video Miguel Jaques, Michael Burke, Timothy Hospedales

CoRL 2019 Disentangled Relational Representations for Explaining and Learning from Demonstration Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, Subramanian Ramamoorthy

CoRL 2019 Hybrid System Identification Using Switching Density Networks Michael Burke, Yordan Hristov, Subramanian Ramamoorthy