Ro Jefferson

According to our database, Ro Jefferson authored at least 8 papers between 2021 and 2026.

Collaborative distances:

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

2026

Predictive Coding Networks and Inference Learning: Tutorial and Survey.

Björn E. Van Zwol, Ro Jefferson, Egon L. van den Broek

ACM Comput. Surv., July, 2026

Towards Worst-Case Guarantees with Scale-Aware Interpretability.

Lauren Greenspan, David S. Berman, Aryeh Brill, Ro Jefferson, Artemy Kolchinsky, Jennifer Lin, Andrew Mack, Anindita Maiti, Fernando E. Rosas, Alexander G. Stapleton, Lucas Teixeira, Dmitry Vaintrob

CoRR, February, 2026

2025

Wilsonian renormalization of neural network Gaussian processes^*.

Jessica N. Howard, Ro Jefferson, Anindita Maiti, Zohar Ringel

Mach. Learn. Sci. Technol., 2025

2024

Opening the Black Box: predicting the trainability of deep neural networks with reconstruction entropy.

Yanick Thurn, Ro Jefferson, Johanna Erdmenger

CoRR, 2024

Wilsonian Renormalization of Neural Network Gaussian Processes.

Jessica N. Howard, Ro Jefferson, Anindita Maiti, Zohar Ringel

CoRR, 2024

2023

Criticality versus uniformity in deep neural networks.

Aleksandar Bukva, Jurriaan de Gier, Kevin T. Grosvenor, Ro Jefferson, Koenraad Schalm, Eliot Schwander

CoRR, 2023

2021

The edge of chaos: quantum field theory and deep neural networks.

Kevin T. Grosvenor, Ro Jefferson

CoRR, 2021

Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group.

Johanna Erdmenger, Kevin T. Grosvenor, Ro Jefferson

CoRR, 2021