Machine Learning & Data Analytics

We designed an augmented reality interface for dialog that enables the control of multimodal behaviors in telepresence robot applications.

This paper introduces an embodied agent that self-authors its own dialog for social chat.

To our best knowledge, this is the first large-scale study for automatic evaluation of narrative quality.

We study a mini-batch diversification scheme for stochastic gradient descent (SGD).

We present a probabilistic language model for time-stamped text data which tracks the semantic evolution of individual words over time.

We propose a joint approach that simultaneously learns a latent coordination model along with the individual policies.

We introduce a simple and effective deep learning approach to automatically generate natural looking speech animation that synchronizes to input speech.

We introduce a deep learning approach for denoising Monte Carlo-rendered images that produces high-quality results suitable for production.

In this paper, we envision a robot that collaborates with a child to create oral stories in a highly interactive manner.