Compiling and Optimizing for Decoupled Architectures. - Nigel P. Topham; Alasdair Rawsthorne; Callum McLean; Muriel Mewissen; Peter L. Bird (SC, 1995)

Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. - Dominique Beaini; Shenyang Huang; Joao Alex Cunha; Zhiyi Li; Gabriela Moisescu-Pareja; Oleksandr Dymov; Samuel Maddrell-Mander; Callum McLean; Frederik Wenkel; Luis Müller; Jama Hussein Mohamud; Ali Parviz; et al. (CoRR, 2023)

Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. - Dominique Beaini; Shenyang Huang; Joao Alex Cunha; Zhiyi Li; Gabriela Moisescu-Pareja; Oleksandr Dymov; Samuel Maddrell-Mander; Callum McLean; Frederik Wenkel; Luis Müller; Jama Hussein Mohamud; Ali Parviz; et al. (ICLR, 2024)

MiniMol: A Parameter-Efficient Foundation Model for Molecular Learning. - Kerstin Kläser 001; Blazej Banaszewski; Samuel Maddrell-Mander; Callum McLean; Luis Müller; Ali Parviz; Shenyang Huang; Andrew W. Fitzgibbon (CoRR, 2024)