Grayson Jorgenson

Researcher, Pacific Northwest National Laboratory

Joined

December 2021

Names

Grayson Jorgenson (Preferred)

Emails

****@pnnl.gov (Confirmed)

Personal Links

Semantic Scholar

Career & Education History

Researcher

Pacific Northwest National Laboratory (pnnl.gov)

2021 – Present

PhD student

Florida State University (fsu.edu)

2015 – 2020

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Scratching the Surface: Reflections of Training Data Properties in Early CNN Filters
Grayson Jorgenson, Cassie Heine, Robin Cosbey, Abby Reynolds, Davis Brown, Henry Kvinge, Timothy Doster, Tegan Emerson
- TAG-DS 2025 SpotlightTalk
- Readers: Everyone
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
- AI4Mat-2023 Poster
- Readers: Everyone
Internal Representations of Vision Models Through the Lens of Frames on Data Manifolds
Henry Kvinge, Grayson Jorgenson, Davis Brown, Charles Godfrey, Tegan Emerson
- NeurReps 2023 Oral
- Readers: Everyone
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 Lee, Grayson Jorgenson, Tegan Emerson, Henry Kvinge
- NeurReps 2023 Poster
- Readers: Everyone
Data dependent frequency sensitivity of convolutional neural networks
Charles Godfrey, Elise Bishoff, Myles McKay, Davis Brown, Grayson Jorgenson, Henry Kvinge, Eleanor Byler
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?
Henry Kvinge, Tegan Emerson, Grayson Jorgenson, Scott Vasquez, Timothy Doster, Jesse Lew
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
Random Filters for Enriching the Discriminatory Power of Topological Representations
Tegan Emerson, Grayson Jorgenson, Henry Kvinge, Colin Olson
- Published: 25 Mar 2022, Last Modified: 05 May 2023
- GTRL 2022 Poster
- Readers: Everyone

Grayson Jorgenson

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Scratching the Surface: Reflections of Training Data Properties in Early CNN Filters

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

Internal Representations of Vision Models Through the Lens of Frames on Data Manifolds

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

Data dependent frequency sensitivity of convolutional neural networks

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

Random Filters for Enriching the Discriminatory Power of Topological Representations

Co-Authors