Robyn Miller

Principal Researcher, Los Alamos National Laboratory

Joined

April 2022

Names

Robyn Miller (Preferred)

Emails

****@gmail.com (Confirmed)

****@lanl.gov (Confirmed)

****@gsu.edu (Confirmed)

Personal Links

Google Scholar

Career & Education History

Principal Researcher

Los Alamos National Laboratory (lanl.gov)

2024 – Present

Assistant Professor

Georgia State University (gsu.edu)

2019 – 2024

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Loss Landscape Geometry and the Learning of Symmetries: Or, What Influence Functions Reveal About Memorization and Generalization
James Amarel, Robyn Miller, Nicolas Hengartner, Benjamin Migliori, Emily Casleton, Alexei Skurikhin, Earl Lawrence, Gerd J. Kunde
- XAI4Science Workshop 2026
- Readers: Everyone
On Predicting Material Fracture from Persistent Homology: Or, Which Topological Features are Informative Covariates?
James Amarel, Nicolas Hengartner, Robyn Miller, Benjamin Migliori, Daniel Hope, Emily Casleton, Alexei Skurikhin, Earl Lawrence, Gerd J. Kunde
- TAG-DS 2025 Poster
- Readers: Everyone
Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse
Bradley Thomas Baker, Barak A. Pearlmutter, Robyn Miller, Vince Calhoun, Sergey Plis
- Submitted to NeurIPS 2023
- Readers: Everyone
Can recurrent models know more than we do?
Noah Lewis, Robyn Miller, Harshvardhan Gazula, Md Mahfuzur Rahman, Armin Iraji, Vince Calhoun, Sergey Plis
- 09 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Topogical Correction of Subject-level Intrinsic Connectivity Networks
Noah Lewis, Armin Iraji, Robyn Miller, Vince Calhoun
- 09 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
CommsVAE: Learning the brain's macroscale communication dynamics using coupled sequential VAEs
Eloy Geenjaar, Noah Lewis, Amrit Kashyap, Robyn Miller, Vince Calhoun
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
TI-VAE: A temporally independent VAE with applications to latent factor learning in neuroimaging
Eloy Geenjaar, Amrit Kashyap, Noah Lewis, Robyn Miller, Vince Calhoun
- 22 Sept 2022 (modified: 13 Feb 2023)
- ICLR 2023 Conference Withdrawn Submission
- Readers: Everyone

Robyn Miller

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Loss Landscape Geometry and the Learning of Symmetries: Or, What Influence Functions Reveal About Memorization and Generalization

On Predicting Material Fracture from Persistent Homology: Or, Which Topological Features are Informative Covariates?

Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse

Can recurrent models know more than we do?

Topogical Correction of Subject-level Intrinsic Connectivity Networks

CommsVAE: Learning the brain's macroscale communication dynamics using coupled sequential VAEs

TI-VAE: A temporally independent VAE with applications to latent factor learning in neuroimaging

Co-Authors