Ahmed Elhag

Biography
My research focuses on the intersection of geometric deep learning, graph ML, and generative models. I'm particularly interested in how we can combine these approaches to develop robust ML methods that can accelerate progress in drug discovery and design. Before my doctoral studies, I graduated from the African Masters of Machine Intelligence program at AIMS Senegal. I also interned at Apple MLR team where I worked on developing generative models for 3D and graph-structured data.
Selected Publications
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Relaxed Equivariance via Multitask Learning
Ahmed A. Elhag‚ T. Konstantin Rusch‚ Francesco Di Giovanni and Michael Bronstein
2024.
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