George Cazenavette

I am a graduate student studying Computer Vision and Machine Learning as part of the Master of Science in Robotics program at Carnegie Mellon University supported by an NSF fellowship. During my time here, I have had the pleasure of being advised by Simon Lucey (now director of the Austrailian Institute for Machine Learning at The University of Adelaide) and Jun-Yan Zhu as well as collaborating with Alexei Efros (UC Berkeley) and Antonio Torralba (MIT).

Prior to attending CMU, I did my undergraduate studies at Louisiana Tech University where I completed degree programs in Computer Science, Mathematics, and Cyber Engineering. I'm forever grateful for the fantastic professors there that helped me get to where I am today, especially Mike O'Neal, Jonathan Walters, and Jean Gourd.

Email: gcazenav [at] cs [dot] cmu [dot] edu

Publications

	Rethinking the Role of Spatial Mixing George Cazenavette, Joel Julin, and Simon Lucey. [Paper]
	Dataset Distillation by Matching Training Trajectories George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei Efros, and Jun-Yan Zhu. CVPR 2022 [Website] [Paper] [Code]
	Reframing Neural Networks: Deep Structure in Overcomplete Representations Calvin Murdock, George Cazenavette, and Simon Lucey. T-PAMI 2022 [Paper]
	Architectural Adversarial Robustness: The Case for Deep Pursuit George Cazenavette , Calvin Murdock, and Simon Lucey. CVPR 2021 (Oral) [Paper] [Video]
	Laying the Foundation to use Raspberry Pi 3 V2 Camera Module Imagery for Scientific and Engineering Purposes Mary Pagnutti, Robert Ryan, George Cazenavette, Maxwell Gold, Ryan Harlan, Edward Leggett, and James Pagnutti. JEI 2017 [Paper]

Preprints

On the Bias Against Inductive Biases

George Cazenavette and Simon Lucey

arXiv preprint
[Paper]

Course Projects

George Cazenavette and Manual Ladron de Guevara

CMU Course Project
[Paper]

Education

Carnegie Mellon University Pittsburgh, Pennsylvania M.S. in Robotics • Sept. 2019 - Present National Science Foundation GRFP
Louisiana Tech University Ruston, Louisiana B.S. in Computer Science • Sept. 2015 - May 2019 B.S. in Mathematics • Sept. 2015 - May 2019 B.S. in Cyber Engineering • Sept. 2015 - May 2019

Fellowships

National Science Foundation GRFP

Teaching

Carnegie Mellon University, Machine Learning Department
10-417/617 - Intermediate Deep Learning (Fall 2020) • Instructors: Ruslan Salakhutdinov and Andrej Risteski
10-707 - Advanced Deep Learning (Spring 2021) • Instructor: Andrej Risteski

Selected Coursework

Carnegie Mellon University, Machine Learning Department
10-707 - Advanced Deep Learning (Spring 2020) • Instructor: Andrej Risteski
10-725 - Convex Optimization (Fall 2020) • Instructor: Yuanzhi Li
10-703 - Deep Reinforcement Learning (Fall 2020) • Instructor: Katerina Fragkiadaki

Carnegie Mellon University, Robotics Institute
16-720 - Computer Vision (Fall 2019) • Instructor: Simon Lucey
16-726 - Learning-Based Image Synthesis (Fall 2021) • Instructor: Jun-Yan Zhu

Research Experience

Generative Intelligence Lab, Carnegie Mellon University Research Assistant • Spring 2021 to Present Advisor: Jun-Yan Zhu
Computer Vision Lab, Carnegie Mellon University Research Assistant • Fall 2019 to Present Advisor: Simon Lucey
Interaction Lab, University of Southern California Research Intern • Summer 2018 Advisor: Maja Matarić
Innovative Imaging and Research, Stennis Space Center Research Intern • Summers 2015, 2016 Advisor: Robert Ryan

Website source from Xindi Wu