Preslav Aleksandrov

According to our database, Preslav Aleksandrov authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling.

Preslav Aleksandrov, Meghdad Kurmanji, Fernando García-Redondo, David O'Shea, William F. Shen, Alex Iacob, Lorenzo Sani, Xinchi Qiu, Nicola Cancedda, Nicholas D. Lane

CoRR, July, 2025

DES-LOC: Desynced Low Communication Adaptive Optimizers for Training Foundation Models.

Alex Iacob, Lorenzo Sani, Mher Safaryan, Paris Giampouras, Samuel Horváth, Andrej Jovanovic, Meghdad Kurmanji, Preslav Aleksandrov, William F. Shen, Xinchi Qiu, Nicholas D. Lane

CoRR, May, 2025

2024

Compliance Cards: Computational Artifacts for Automated AI Regulation Compliance.

Bill Marino, Preslav Aleksandrov, Carwyn Rahman, Yulu Pi, Bill Shen, Rui-Jie Yew, Nicholas D. Lane

CoRR, 2024

Worldwide Federated Training of Language Models.

Alex Iacob, Lorenzo Sani, Bill Marino, Preslav Aleksandrov, William F. Shen, Nicholas Donald Lane

CoRR, 2024

The Future of Large Language Model Pre-training is Federated.

Lorenzo Sani, Alex Iacob, Zeyu Cao, Bill Marino, Yan Gao, Tomás Paulik, Wanru Zhao, William F. Shen, Preslav Aleksandrov, Xinchi Qiu, Nicholas D. Lane

CoRR, 2024

2023

Fully Convolutional Generative Machine Learning Method for Accelerating Non-Equilibrium Greens Function Simulations.

Preslav Aleksandrov, Ali Rezaei, Nikolas Xeni, Tapas Dutta, Asen Asenov, Vihar P. Georgiev

CoRR, 2023

Improved convergence of forward and inverse finite element models.

Preslav Aleksandrov

CoRR, 2023