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Toshiyuki Tanaka

2 accepted papers

2025

Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model

NeurIPS 2025poster

A phenomenon known as ``Neural Collapse (NC)'' in deep classification tasks, in which the penultimate-layer features and the final classifiers exhibit an extremely simple geometric structure, has recently attracted considerable attention, with the expectation that it can deepen our understanding of…

Cited by 0Source ↗Scholar ↗
2019

Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs

NeurIPS 2019poster

We propose a probabilistic model for inferring the multivariate function from multiple areal data sets with various granularities. Here, the areal data are observed not at location points but at regions. Existing regression-based models can only utilize the sufficiently fine-grained auxiliary data s…

Cited by 33Source ↗PDF ↗Scholar ↗