Grayson Jorgenson

According to our database, Grayson Jorgenson authored at least 6 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Haldane Bundles: A Dataset for Learning to Predict the Chern Number of Line Bundles on the Torus.

Cody Tipton, Elizabeth Coda, Davis Brown, Alyson Bittner, Jung H. Lee, Grayson Jorgenson, Tegan Emerson, Henry Kvinge

CoRR, 2023

ColMix - A Simple Data Augmentation Framework to Improve Object Detector Performance and Robustness in Aerial Images.

Cuong Ly, Grayson Jorgenson, Dan Rosa de Jesus, Henry Kvinge, Adam Attarian, Yijing Watkins

CoRR, 2023

2022

Neural frames: A Tool for Studying the Tangent Bundles Underlying Image Datasets and How Deep Learning Models Process Them.

Henry Kvinge, Grayson Jorgenson, Davis Brown, Charles Godfrey, Tegan Emerson

CoRR, 2022

Convolutional networks inherit frequency sensitivity from image statistics.

Charles Godfrey, Elise Bishoff, Myles Mckay, Davis Brown, Grayson Jorgenson, Henry Kvinge, Eleanor Byler

CoRR, 2022

Random Filters for Enriching the Discriminatory power of Topological Representations.

Grayson Jorgenson, Henry Kvinge, Tegan Emerson, Colin C. Olson

Proceedings of the Topological, 2022

In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?

Henry Kvinge, Tegan Emerson, Grayson Jorgenson, Scott Vasquez, Tim Doster, Jesse D. Lew

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022