Miguel Jaques

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 8

Top Topics

Variational Bayesian

Top Venues

ICLR (Workshop)

Publications

Miguel Jaques, Martin Asenov, Michael Burke, Timothy M. Hospedales
Vision-based System Identification and 3D Keypoint Discovery using Dynamics Constraints. L4DC (2022)
Miguel Jaques, Martin Asenov, Michael Burke, Timothy M. Hospedales
Vision-based system identification and 3D keypoint discovery using dynamics constraints. CoRR (2021)
Miguel Jaques, Michael Burke, Timothy M. Hospedales
NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces. CVPR (2021)
Miguel Jaques, Michael Burke, Timothy M. Hospedales
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video. ICLR (2020)
Miguel Jaques, Michael Burke, Timothy M. Hospedales
NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces. CoRR (2020)
Miguel Jaques, Michael Burke, Timothy M. Hospedales
Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video. CoRR (2019)
Nick Pawlowski, Miguel Jaques, Ben Glocker
Efficient variational Bayesian neural network ensembles for outlier detection. CoRR (2017)
Nick Pawlowski, Miguel Jaques, Ben Glocker
Efficient variational Bayesian neural network ensembles for outlier detection. ICLR (Workshop) (2017)