Search Results for author: Daniel Suo

Found 5 papers, 3 papers with code

Deluca -- A Differentiable Control Library: Environments, Methods, and Benchmarking

1 code implementation19 Feb 2021 Paula Gradu, John Hallman, Daniel Suo, Alex Yu, Naman Agarwal, Udaya Ghai, Karan Singh, Cyril Zhang, Anirudha Majumdar, Elad Hazan

We present an open-source library of natively differentiable physics and robotics environments, accompanied by gradient-based control methods and a benchmark-ing suite.

OpenAI Gym

Machine Learning for Mechanical Ventilation Control

1 code implementation12 Feb 2021 Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel Cohen, Elad Hazan

We consider the problem of controlling an invasive mechanical ventilator for pressure-controlled ventilation: a controller must let air in and out of a sedated patient's lungs according to a trajectory of airway pressures specified by a clinician.

Continual Learning in Generative Adversarial Nets

no code implementations23 May 2017 Ari Seff, Alex Beatson, Daniel Suo, Han Liu

Developments in deep generative models have allowed for tractable learning of high-dimensional data distributions.

Continual Learning

Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge

2 code implementations29 Sep 2016 Andy Zeng, Kuan-Ting Yu, Shuran Song, Daniel Suo, Ed Walker Jr., Alberto Rodriguez, Jianxiong Xiao

The approach was part of the MIT-Princeton Team system that took 3rd- and 4th- place in the stowing and picking tasks, respectively at APC 2016.

6D Pose Estimation 6D Pose Estimation using RGBD

Cannot find the paper you are looking for? You can Submit a new open access paper.