Publications (4)
Stochastic Gradient MCMC for Massive Geostatistical Data
Mohamed A. Abba, Brian J. Reich, Reetam Majumder +1
Gaussian processes (GPs) are commonly used for prediction and inference for spatial data analyses. However, since estimation and prediction tasks have cubic time and quadratic memo…
Comfetch: Federated Learning of Large Networks on Constrained Clients via Sketching
Tahseen Rabbani, Brandon Feng, Marco Bornstein +5
Federated learning (FL) is a popular paradigm for private and collaborative model training on the edge. In centralized FL, the parameters of a global architecture (such as a deep n…
Generalized Dynamics Generation towards Scannable Physical World Model
Yichen Li, Zhiyi Li, Brandon Feng +2
Digital twin worlds with realistic interactive dynamics presents a new opportunity to develop generalist embodied agents in scannable environments with complex physical behaviors.…
Seeing the World through Your Eyes
Hadi Alzayer, Kevin Zhang, Brandon Feng +2
The reflective nature of the human eye is an underappreciated source of information about what the world around us looks like. By imaging the eyes of a moving person, we can collec…