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04/26/2023
Surrogate Assisted Generation of Human-Robot Interaction Scenarios
As human-robot interaction (HRI) systems advance, so does the difficulty...
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12/09/2022
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection
Large-scale data is an essential component of machine learning as demons...
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10/13/2020
Video Game Level Repair via Mixed Integer Linear Programming
Recent advancements in procedural content generation via machine learnin...
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05/11/2020
Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis
With the wide adoption of functional magnetic resonance imaging (fMRI) b...
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11/25/2019
Robot Learning and Execution of Collaborative Manipulation Plans from YouTube Videos
People often watch videos on the web to learn how to cook new recipes, a...
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05/26/2019
Interactive Differentiable Simulation
Intelligent agents need a physical understanding of the world to predict...
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10/04/2018
Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations
Simulation-to-real transfer is an important strategy for making reinforc...
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09/29/2018
Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation
Recent advancements in machine learning research have given rise to recu...
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09/26/2018
Scaling simulation-to-real transfer by learning composable robot skills
We present a novel solution to the problem of simulation-to-real transfe...
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11/17/2017
Segmenting Brain Tumors with Symmetry
We explore encoding brain symmetry into a neural network for a brain tum...
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09/29/2016
A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis
There is a growing interest in joint multi-subject fMRI analysis. The ch...
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08/17/2016