activity
20242026
most citedImproved identification of breakpoints in piecewise regression and its applications

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

math.AC2026

Improved Upper Bounds for the Rank of the Determinant Tensor via Glynn's Formula

Jeong-Hoon Ju, Hayoung Choi, Taehyeong Kim

In this paper, we improve the upper bound for the tensor rank of the determinant tensor to by finding a new tensor decomposition of the ten…

math.NA2026

Low T-Phase Rank Approximation of Third Order Tensors

Taehyeong Kim, Hayoung Choi, Yimin Wei

We study low T-phase-rank approximation of sectorial third-order tensors under the tensor T-product. We introduce canonical T-phases…

cs.LG2025

Optimized Weight Initialization on the Stiefel Manifold for Deep ReLU Neural Networks

Hyungu Lee, Taehyeong Kim, Hayoung Choi

Stable and efficient training of ReLU networks with large depth is highly sensitive to weight initialization. Improper initialization can cause permanent neuron inactivation dying…

stat.ML2024★ 1 cited

Improved identification of breakpoints in piecewise regression and its applications

Taehyeong Kim, Hyungu Lee, Myungjin Kim +1

Identifying breakpoints in piecewise regression is critical in enhancing the reliability and interpretability of data fitting. In this paper, we propose novel algorithms based on t…

math.NA2024

Geometric mean for T-positive definite tensors and associated Riemannian geometry

Jeong-Hoon Ju, Taehyeong Kim, Yeongrak Kim +1

In this paper, we generalize the geometric mean of two positive definite matrices to that of third-order tensors using the notion of T-product. Specifically, we define the geometri…