Thomas Power

According to our database, Thomas Power authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Learning a Generalizable Trajectory Sampling Distribution for Model Predictive Control.

Thomas Power, Dmitry Berenson

IEEE Trans. Robotics, 2024

2023

Constrained Stein Variational Trajectory Optimization.

Thomas Power, Dmitry Berenson

CoRR, 2023

2022

Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection.

Thomas Power, Dmitry Berenson

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

2021

Keep It Simple: Data-Efficient Learning for Controlling Complex Systems With Simple Models.

Thomas Power, Dmitry Berenson

IEEE Robotics Autom. Lett., 2021

2020

A Nonparametric Bayesian Methodology for Synthesizing Residential Solar Generation and Demand Data.

Thomas Power, Gregor Verbic, Archie C. Chapman

IEEE Trans. Smart Grid, 2020

Learning When to Trust a Dynamics Model for Planning in Reduced State Spaces.

Dale McConachie, Thomas Power, Peter Mitrano, Dmitry Berenson

IEEE Robotics Autom. Lett., 2020

2018

Probabilistic Assessment of PV-Battery System Impacts on LV Distribution Networks.

Yiju Ma, Donald Azuatalam, Thomas Power, Gregor Verbic, Archie C. Chapman

CoRR, 2018

Sharing of ADHD Information between Parents and Teachers Using an EHR-Linked Application.

Jeremy J. Michel, Stephanie Mayne, Robert Grundmeier, James Guevara, Nathan Blum, Thomas Power, Emily Coffin, Jeffrey M. Miller, Alexander G. Fiks

Appl. Clin. Inform., 2018