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Miguel Jaques

2 accepted papers

2021

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

CVPR 2021poster

Learning low-dimensional latent state space dynamics models has proven powerful for enabling vision-based planning and learning for control. We introduce a latent dynamics learning framework that is uniquely designed to induce proportional controlability in the latent space, thus enabling the use of…

Cited by 26PDFScholar
2020

Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video

ICLR 2020poster

We propose a model that is able to perform physical parameter estimation of systems from video, where the differential equations governing the scene dynamics are known, but labeled states or objects are not available. Existing physical scene understanding methods require either object state supervis…

Cited by 50SourceScholar