Christopher Kanan

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Associate Professor

University of Rochester

United States

Research Interests

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About

Christopher Kanan is an Associate Professor at the University of Rochester in the United States. His research focuses on artificial intelligence applications in physics, particularly in inertial confinement fusion and laser direct drive systems. Recent publications include studies on deep learning techniques for evaluating complex systems and AI-generated imagery.

Recent Grants

Grant: Open

CAREER: Brain-inspired Methods for Continual Learning of Large-scale Vision and Language Tasks

Open Date: 2021-12-01

Close Date: 2026-11-30

Grant: Close

RI: Small: Lifelong Multimodal Concept Learning

Open Date: 2019-10-01

Close Date: 2023-09-30

Grant: Close

inter-Science of Learning Centers Conference

Open Date: 2012-03-01

Close Date: 2014-02-28

Articles (3)

Year:

2025

Year:

2024

Year:

2024

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Christopher Kanan

Research Interests

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About

Recent Grants

Articles (3)

Inference of three-dimensional hot-spot and shell morphology in inertial confinement fusion experiments using a convolutional neural network

Deep learning-based predictive models for laser direct drive at the Omega Laser Facility

Learning to Evaluate the Artness of AI-Generated Images

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