Improved convergence of forward and inverse finite element models. - Preslav Aleksandrov (CoRR, 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)

The Future of Large Language Model Pre-training is Federated. - Lorenzo Sani; Alex Iacob; Zeyu Cao; Bill Marino; Yan Gao 016; Tomás Paulik; Wanru Zhao; William F. Shen; Preslav Aleksandrov; Xinchi Qiu; 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)

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)

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, 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, 2025)