no code implementations • 28 Feb 2023 • MengYing Lei, Lijun Sun
However, such simple kernel specifications are deficient in learning functions with complex features, such as being nonstationary, nonseparable, and multimodal.
no code implementations • 21 Aug 2022 • MengYing Lei, Aurelie Labbe, Lijun Sun
Probabilistic modeling of multidimensional spatiotemporal data is critical to many real-world applications.
1 code implementation • 24 Sep 2021 • Yuankai Wu, Dingyi Zhuang, MengYing Lei, Aurelie Labbe, Lijun Sun
Specifically, we propose a novel spatial aggregation network (SAN) inspired by Principal Neighborhood Aggregation, which uses multiple aggregation functions to help one node gather diverse information from its neighbors.
no code implementations • 31 Aug 2021 • MengYing Lei, Aurelie Labbe, Lijun Sun
To address this challenge, we summarize the spatiotemporally varying coefficients using a third-order tensor structure and propose to reformulate the spatiotemporally varying coefficient model as a special low-rank tensor regression problem.
1 code implementation • 30 Apr 2021 • Xinyu Chen, MengYing Lei, Nicolas Saunier, Lijun Sun
In this paper, we propose a low-rank autoregressive tensor completion (LATC) framework by introducing \textit{temporal variation} as a new regularization term into the completion of a third-order (sensor $\times$ time of day $\times$ day) tensor.