1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ML2023
Intrinsic and extrinsic deep learning on manifolds
Yihao Fang, Ilsang Ohn, Vijay Gupta +1
We propose extrinsic and intrinsic deep neural network architectures as general frameworks for deep learning on manifolds. Specifically, extrinsic deep neural networks (eDNNs) pres…
math.OC2022★ 1 cited
Extrinsic Bayesian Optimizations on Manifolds
Yihao Fang, Mu Niu, Pokman Cheung +1
We propose an extrinsic Bayesian optimization (eBO) framework for general optimization problems on manifolds. Bayesian optimization algorithms build a surrogate of the objective fu…