Yasir Ghunaim

According to our database, Yasir Ghunaim authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

Towards Data-Efficient Pretraining for Atomic Property Prediction.

Yasir Ghunaim, Hasan Abed Al Kader Hammoud, Bernard Ghanem

CoRR, February, 2025

Towards Faster and More Compact Foundation Models for Molecular Property Prediction.

Yasir Ghunaim, Andrés Villa, Gergo Ignacz, Gyorgy Szekely, Motasem Alfarra, Bernard Ghanem

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Leveraging 2D molecular graph pretraining for improved 3D conformer generation with graph neural networks.

Kumail Alhamoud, Yasir Ghunaim, Abdulelah S. Alshehri, Guohao Li, Bernard Ghanem, Fengqi You

Comput. Chem. Eng., 2024

Large-Scale Knowledge Integration for Enhanced Molecular Property Prediction.

Yasir Ghunaim, Robert Hoehndorf

Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging.

Kumail Alhamoud, Yasir Ghunaim, Motasem Alfarra, Thomas Hartvigsen, Philip Torr, Bernard Ghanem, Adel Bibi, Marzyeh Ghassemi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023