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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 0SourceScholar
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 33SourcePDFScholar