Abstract. We present a probabilistic mixture of experts framework to perform nonparametric piecewise poly- nomial approximation without the need for an ...
We present a probabilistic mixture of experts framework to perform nonparametric piecewise polynomial approximation without the need for an underlying mesh ...
Duration: 32:11
Posted: Aug 30, 2022
Posted: Aug 30, 2022
We present a probabilistic mixture of experts framework to perform nonparametric piecewise polynomial approximation without the need for an underlying mesh ...
Sep 2, 2022 · Our multigrid inspired partition of unity architecture provides a parallelizable meshfree construction of piecewise polynomial spaces, and ...
We explore the probabilistic partition of unity network (PPOU‐Net) model in the context of high‐dimensional regression problems. With the PPOU‐Nets, ...
Jan 27, 2023 · We present a training strategy that leverages the expectation maximization (EM) algorithm. During the training, we alternate between (i) ...
The probabilistic partition of unity network (PPOU‐Net) model in the context of high‐dimensional regression problems and a general framework focusing on ...
Henriksen, C. Martinez, and E. Cyr, Hierarchical partition of unity networks: Fast multilevel training, in Mathematical and Scientific Machine Learning, PMLR, ...