Parnell, Thomas

5 publications

NeurIPS 2025 Activated LoRA: Fine-Tuned LLMs for Intrinsics Kristjan Greenewald, Luis A. Lastras, Thomas Parnell, Vraj Shah, Lucian Popa, Giulio Zizzo, Chulaka Gunasekara, Ambrish Rawat, David Daniel Cox

NeurIPS 2020 SnapBoost: A Heterogeneous Boosting Machine Thomas Parnell, Andreea Anghel, Małgorzata Łazuka, Nikolas Ioannou, Sebastian Kurella, Peshal Agarwal, Nikolaos Papandreou, Haralampos Pozidis

NeurIPS 2019 SySCD: A System-Aware Parallel Coordinate Descent Algorithm Nikolas Ioannou, Celestine Mendler-Dünner, Thomas Parnell

NeurIPS 2018 Snap ML: A Hierarchical Framework for Machine Learning Celestine Dünner, Thomas Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Andreea Anghel, Gummadi Ravi, Madhusudanan Kandasamy, Haralampos Pozidis

NeurIPS 2017 Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems Celestine Dünner, Thomas Parnell, Martin Jaggi