activity
20182026
most citedDeep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information

39 citations · 69 across the 11 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

stat.ML2020★ 2 cited

Few-shot Learning for Spatial Regression

Tomoharu Iwata, Yusuke Tanaka

We propose a few-shot learning method for spatial regression. Although Gaussian processes (GPs) have been successfully used for spatial regression, they require many observations i…

stat.ML2020★ 2 cited

Probabilistic Optimal Transport based on Collective Graphical Models

Yasunori Akagi, Yusuke Tanaka, Tomoharu Iwata +2

Optimal Transport (OT) is being widely used in various fields such as machine learning and computer vision, as it is a powerful tool for measuring the similarity between probabilit…