From the 1 of 10 linked papers with an AI index.
10 papers
AMSB in Truly Confining Gauge Theories
Riku Ishikawa, Hitoshi Murayama, Shota Saito
We study deformation of supersymmetric -confining (truly confininig) gauge theories with small anomaly mediation of supersymmetry breaking. We identify breaking pattern of globa…
Bosonic SPT and invertible phases and its relation to Steenrod's problem
Shota Saito, Yuji Tachikawa, Yi Zhang
The paper systematically studies bosonic invertible and symmetry‑protected topological phases, showing that beyond‑cohomology phenomena first appear as a mod‑3 effect and linking t…
Soft Bayesian Context Tree Models for Real-Valued Time Series
Shota Saito, Yuta Nakahara, Toshiyasu Matsushima
This paper proposes the soft Bayesian context tree model (Soft-BCT), which is a novel BCT model for real-valued time series. The Soft-BCT considers soft (probabilistic) splits of t…
A Mixture Autoregressive Image Generative Model on Quadtree Regions for Gaussian Noise Removal via Variational Bayes and Gradient Methods
Shota Saito, Yuta Nakahara, Kohei Horinouchi +3
This paper addresses the problem of image denoising for grayscale images. We propose a probabilistic image generative model that combines a quadtree region-partitioning model with…
Variable Splitting Binary Tree Models Based on Bayesian Context Tree Models for Time Series Segmentation
Yuta Nakahara, Shota Saito, Kohei Horinouchi +4
We propose a variable splitting binary tree (VSBT) model based on Bayesian context tree (BCT) models for time series segmentation. Unlike previous applications of BCT models, the t…
CatCMA with Margin for Single- and Multi-Objective Mixed-Variable Black-Box Optimization
Ryoki Hamano, Masahiro Nomura, Shota Saito +2
This study focuses on mixed-variable black-box optimization (MV-BBO), addressing continuous, integer, and categorical variables. Many real-world MV-BBO problems involve dependencie…