machine learning

A spotlight paper to be presented in NeurIPS2020

We are excited to announce that our paper “Baxter permutation process” has been accepted to NeurIPS2020 as a spotlight presentation. In this paper, a Bayesian nonparametric model for Baxter permutations (BPs), termed BP process (BPP) is proposed and applied to relational data analysis.

A new paper accepted to PASJ

We are excited to share our new paper “Photometric classification of the HSC transients through machine learning” accepted to PASJ (Publications of the Astronomical Society of Japan)! Paper (arXiv):

Non-negative Multiple Tensor Factorization

Non-negative Tensor Factorization (NTF) is a widely used technique for decomposing a non-negative value tensor into sparse and reasonably interpretable factors. However, NTF performs poorly when the tensor is extremely sparse, which is often the case …