5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 5 cited
Self-Supervised Learning for Neural Topic Models with Variance-Invariance-Covariance Regularization
Weiran Xu, Kengo Hirami, Koji Eguchi
In our study, we propose a self-supervised neural topic model (NTM) that combines the power of NTMs and regularized self-supervised learning methods to improve performance. NTMs us…
cs.SI2013
Sequential Monte Carlo Inference of Mixed Membership Stochastic Blockmodels for Dynamic Social Networks
Tomoki Kobayashi, Koji Eguchi
Many kinds of data can be represented as a network or graph. It is crucial to infer the latent structure underlying such a network and to predict unobserved links in the network. M…