Shakir Mohamed
University of Cape Town(ZA)University of Monastir(TN)University of Sadat City(EG)Google DeepMind (United Kingdom)(GB)National Institute for Theoretical Physics(ZA)Google (United Kingdom)(GB)South African Radio Astronomy Observatory(ZA)Numerical Method (China)(CN)Applied Radar (United States)(US)Astronomical Observatory(RS)University of Virginia(US)
Publications by Year
Research Areas
Gaussian Processes and Bayesian Inference, Generative Adversarial Networks and Image Synthesis, Iterative Learning Control Systems, Bayesian Methods and Mixture Models, Ethics and Social Impacts of AI
Most-Cited Works
- beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework(2017)
- → Stochastic Backpropagation and Approximate Inference in Deep Generative Models(2014)2,647 cited
- → Semi-Supervised Learning with Deep Generative Models(2014)1,521 cited
- → Variational Inference with Normalizing Flows(2015)1,425 cited
- → A clinically applicable approach to continuous prediction of future acute kidney injury(2019)1,063 cited
- → Learning skillful medium-range global weather forecasting(2023)1,016 cited
- → Skilful precipitation nowcasting using deep generative models of radar(2021)865 cited