Real-Time Evaluation in Online Continual Learning: A New Hope. - Yasir Ghunaim; Adel Bibi; Kumail Alhamoud; Motasem Alfarra; Hasan Abed Al Kader Hammoud; Ameya Prabhu; Philip H. S. Torr; Bernard Ghanem (CVPR, 2023)

Online Distillation with Continual Learning for Cyclic Domain Shifts. - Joachim Houyon; Anthony Cioppa; Yasir Ghunaim; Motasem Alfarra; Anaïs Halin; Maxim Henry; Bernard Ghanem; Marc Van Droogenbroeck (CVPR Workshops, 2023)

Real-Time Evaluation in Online Continual Learning: A New Paradigm. - Yasir Ghunaim; Adel Bibi; Kumail Alhamoud; Motasem Alfarra; Hasan Abed Al Kader Hammoud; Ameya Prabhu; Philip H. S. Torr; Bernard Ghanem (CoRR, 2023)

FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging. - Kumail Alhamoud; Yasir Ghunaim; Motasem Alfarra; Thomas Hartvigsen; Philip Torr 001; Bernard Ghanem; Adel Bibi; Marzyeh Ghassemi (MICCAI (10), 2024)

Large-Scale Knowledge Integration for Enhanced Molecular Property Prediction. - Yasir Ghunaim; Robert Hoehndorf (NeSy (2), 2024)

Leveraging 2D molecular graph pretraining for improved 3D conformer generation with graph neural networks. - Kumail Alhamoud; Yasir Ghunaim; Abdulelah S. Alshehri; Guohao Li 001; Bernard Ghanem; Fengqi You (Comput. Chem. Eng., 2024)

Towards Faster and More Compact Foundation Models for Molecular Property Prediction. - Yasir Ghunaim; Andrés Villa; Gergo Ignacz; Gyorgy Szekely; Motasem Alfarra; Bernard Ghanem (CVPR Workshops, 2025)

Towards Data-Efficient Pretraining for Atomic Property Prediction. - Yasir Ghunaim; Hasan Abed Al Kader Hammoud; Bernard Ghanem (CoRR, 2025)