10 citations · 29 across the 11 of their papers we have counts for
11 papers
Uncovering Hidden Leptonic Correlations with Flow Matching and Autoencoders
Haruto Kitagawa, Satsuki Nishimura, Hajime Otsuka
We perform a global search for values of the Yukawa matrices and Majorana masses in the Type-I seesaw mechanism. Using flow matching, which is a generative artificial intelligence…
Revisiting One-Zero and Two-Zero Neutrino Mass Textures in Light of Recent Oscillation and Cosmological Data
Haruto Kitagawa, Coh Miyao, Satsuki Nishimura +1
We revisit one-zero and two-zero textures of the neutrino mass matrix under current experimental and cosmological constraints. We identify the phenomenologically viable texture str…
Coupling Selection Rules in Heterotic Calabi-Yau Compactifications
Jun Dong, Tatsuo Kobayashi, Ryusei Nishida +2
We study coupling selection rules of chiral matter fields in heterotic string theory with standard embedding. These selection rules are determined by topological properties of Cala…
Diffusion-model approach to flavor models: A case study for modular flavor model
Satsuki Nishimura, Hajime Otsuka, Haruki Uchiyama
We propose a numerical method of searching for parameters with experimental constraints in generic flavor models by utilizing diffusion models, which are classified as a type of ge…
Exploring the flavor structure of leptons via diffusion models
Satsuki Nishimura, Hajime Otsuka, Haruki Uchiyama
We propose a method to explore the flavor structure of leptons using diffusion models, which are known as one of generative artificial intelligence (generative AI). We consider a s…
Reinforcement learning-based statistical search strategy for an axion model from flavor
Satsuki Nishimura, Coh Miyao, Hajime Otsuka
We propose a reinforcement learning-based search strategy to explore new physics beyond the Standard Model. The reinforcement learning, which is one of machine learning methods, is…
Modular forms and hierarchical Yukawa couplings in heterotic Calabi-Yau compactifications
Keiya Ishiguro, Tatsuo Kobayashi, Satsuki Nishimura +1
We study the modular symmetry in heterotic string theory on Calabi-Yau threefolds. In particular, we examine whether moduli-dependent holomorphic Yukawa couplings are described by…
Autoencoder-Driven Clustering of Intersecting D-brane Models via Tadpole Charge
Keiya Ishiguro, Satsuki Nishimura, Hajime Otsuka
We study the well-known type IIA intersecting D-brane models on the orientifold via a machine-learning approach. We apply several autoenco…
Upper bound on the Atiyah-Singer index from tadpole cancellation
Keiya Ishiguro, Takafumi Kai, Satsuki Nishimura +2
We propose an upper bound on the Atiyah-Singer index in the effective action of string theory. For and heterotic string theories on smooth Calabi-Y…
Exploring the flavor structure of quarks and leptons with reinforcement learning
Satsuki Nishimura, Coh Miyao, Hajime Otsuka
We propose a method to explore the flavor structure of quarks and leptons with reinforcement learning. As a concrete model, we utilize a basic value-based algorithm for models with…
Generalized Matter Parities from Finite Modular Symmetries
Tatsuo Kobayashi, Satsuki Nishimura, Hajime Otsuka +2
We classify a supersymmetric extension of the Standard Model by discrete symmetries originating from finite modular symmetries . Since all the couplings in supersymmetric theo…