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Found 7 papers, 2 papers with code
Quantifying Clinical Outcome Measures in Patients with Epilepsy Using the Electronic Health Record
A wealth of important clinical information lies untouched in the Electronic Health Record, often in the form of unstructured textual documents.
Physics-based Human Motion Estimation and Synthesis from Videos
We demonstrate both qualitatively and quantitatively significantly improved motion estimation, synthesis quality and physical plausibility achieved by our method on the large scale Human3. 6m dataset \cite{h36m_pami} as compared to prior kinematic and physics-based methods.
KAMA: 3D Keypoint Aware Body Mesh Articulation
We present KAMA, a 3D Keypoint Aware Mesh Articulation approach that allows us to estimate a human body mesh from the positions of 3D body keypoints.
gradSim: Differentiable simulation for system identification and visuomotor control
We consider the problem of estimating an object's physical properties such as mass, friction, and elasticity directly from video sequences.
Latent Skill Planning for Exploration and Transfer
To quickly solve new tasks in complex environments, intelligent agents need to build up reusable knowledge.
Continual Model-Based Reinforcement Learning with Hypernetworks
Effective planning in model-based reinforcement learning (MBRL) and model-predictive control (MPC) relies on the accuracy of the learned dynamics model.
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
Recent works in high-dimensional model-predictive control and model-based reinforcement learning with learned dynamics and reward models have resorted to population-based optimization methods, such as the Cross-Entropy Method (CEM), for planning a sequence of actions.
