Search Results for author: Daniel L. Marino

Found 4 papers, 1 papers with code

Physics Enhanced Data-Driven Models with Variational Gaussian Processes

no code implementations5 Jun 2019 Daniel L. Marino, Milos Manic

Centuries of development in natural sciences and mathematical modeling provide valuable domain expert knowledge that has yet to be explored for the development of machine learning models.

Gaussian Processes

Building Energy Load Forecasting using Deep Neural Networks

no code implementations29 Oct 2016 Daniel L. Marino, Kasun Amarasinghe, Milos Manic

Experimental results showed that the standard LSTM failed at one-minute resolution data while performing well in one-hour resolution data.

Decision Making Load Forecasting

Fast Trajectory Simplification Algorithm for Natural User Interfaces in Robot Programming by Demonstration

1 code implementation25 Aug 2016 Daniel L. Marino, Milos Manic

While most current trajectory simplification algorithms are tailored for GPS trajectories, our approach focuses on smooth trajectories for robot programming by demonstration recorded using motion capture systems. Two variations of the algorithm are presented: 1. aims to preserve shape and temporal information; 2. preserves only shape information.

Motion Capture

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