activity
20202026
most citedComparative study of 1D and 2D convolutional neural network models with attribution analysis for gravitational wave detection from compact binary coalescences

11 citations · 45 across the 12 of their papers we have counts for

collaborators

12 papers

cs.LG2026

Closed-Form Steepest Descent Direction toward Flat Minima: Reducing Upper Bounds on the Loss Hessian Eigenspectrum in Neural Networks

Yuto Omae, Kazuki Sakai, Yohei Kakimoto +3

The flatness hypothesis suggests that flatness of the loss landscape, as measured by the eigenvalues of the loss Hessian, correlates with better neural network generalization. Whil…

cs.LG2026

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression

Yohei Kakimoto, Yuto Omae, Hirotaka Takahashi

For nonconvex optimization problems whose objective is the prediction function of a trained Support Vector Regression (SVR) model with the Gaussian radial basis function (RBF) kern…

cs.LG2026

Wolkowicz-Styan Upper Bound on the Hessian Eigenspectrum for Cross-Entropy Loss in Nonlinear Smooth Neural Networks

Yuto Omae, Kazuki Sakai, Yohei Kakimoto +3

Neural networks (NNs) are central to modern machine learning and achieve state-of-the-art results in many applications. However, the relationship between loss geometry and generali…

gr-qc2025

Glitch noise classification in KAGRA O3GK observing data using unsupervised machine learning

Shoichi Oshino, Yusuke Sakai, Marco Meyer-Conde +5

Gravitational wave interferometers are disrupted by various types of nonstationary noise, referred to as glitch noise, that affect data analysis and interferometer sensitivity. The…

astro-ph.HE2025★ 1 cited

Gravitational Wave Memory from Accelerating Relativistic Jets in Multiple Thick Shell Scenarios

Yusuke Sakai, Ryo Yamazaki, Yoshihiro Okutani +4

Gravitational wave (GW) memory, a permanent distortion of the space-time metric, is anticipated during the acceleration of relativistic jets in gamma-ray bursts (GRBs). While the p…

gr-qc2024★ 5 cited

Parameter estimation of protoneutron stars from gravitational wave signals using the Hilbert-Huang transform

Seiya Sasaoka, Yusuke Sakai, Diego Dominguez +5

Core-collapse supernovae (CCSNe) are potential multimessenger events detectable by current and future gravitational wave (GW) detectors. The GW signals emitted during these events…