Anna Golubeva

According to our database, Anna Golubeva authored at least 8 papers between 2018 and 2026.

Collaborative distances:

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

2026

Folding Tensor and Sequence Parallelism for Memory-Efficient Transformer Training & Inference.

Vasudev Shyam, Anna Golubeva, Quentin Anthony

CoRR, April, 2026

2025

Training Foundation Models on a Full-Stack AMD Platform: Compute, Networking, and System Design.

Quentin Anthony, Yury Tokpanov, Skyler Szot, Srivatsan Rajagopal, Praneeth Medepalli, Anna Golubeva, Vasudev Shyam, Robert Washbourne, Rishi Iyer, Ansh Chaurasia, Tomas Figliolia, Xiao Yang, Abhinav Sarje, Drew Thorstensen, Amartey Pearson, Zack Grossbart, Jason van Patten, Emad Barsoum, Zhenyu Gu, Yao Fu, Beren Millidge

CoRR, November, 2025

2024

The Zamba2 Suite: Technical Report.

Paolo Glorioso, Quentin Anthony, Yury Tokpanov, Anna Golubeva, Vasudev Shyam, James Whittington, Jonathan Pilault, Beren Millidge

CoRR, 2024

Dynamic Sparse Training with Structured Sparsity.

Mike Lasby, Anna Golubeva, Utku Evci, Mihai Nica, Yani Ioannou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Bounding generalization error with input compression: An empirical study with infinite-width networks.

Angus Galloway, Anna Golubeva, Mahmoud Salem, Mihai Nica, Yani A. Ioannou, Graham W. Taylor

Trans. Mach. Learn. Res., 2023

2021

Are wider nets better given the same number of parameters?

Anna Golubeva, Guy Gur-Ari, Behnam Neyshabur

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Batch Normalization is a Cause of Adversarial Vulnerability.

Angus Galloway, Anna Golubeva, Thomas Tanay, Medhat Moussa, Graham W. Taylor

CoRR, 2019

2018

Adversarial Examples as an Input-Fault Tolerance Problem.

Angus Galloway, Anna Golubeva, Graham W. Taylor

CoRR, 2018