Rosanne Liu

Rosanne Liu
Rosanne obtained her PhD in Computer Science at Northwestern University, where she used neural networks to help discover novel materials. Months before graduation she started working as a machine learning researcher at a New York based startup Geometric Intelligence, which later became Uber AI Labs. She has a diverse background in optimization, automotive control, materials informatics and social media mining. She loves reading, standup comedies and playing with dogs.

Creating a Zoo of Atari-Playing Agents to Catalyze the Understanding of Deep Reinforcement Learning

Uber AI Labs releases Atari Model Zoo, an open source repository of both trained Atari Learning Environment agents and tools to better understand them.

Faster Neural Networks Straight from JPEG

Uber AI Labs introduces a method for making neural networks that process images faster and more accurately by leveraging JPEG representations.

An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

As powerful and widespread as convolutional neural networks are in deep learning, AI Labs’ latest research reveals both an underappreciated failing and a simple fix.

Measuring the Intrinsic Dimension of Objective Landscapes

Curious about what it is like to traverse the high-dimensional loss landscapes of modern neural networks? Check out Uber AI Labs’ latest research on measuring intrinsic dimension to find out.

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