51 citations · 178 across the 20 of their papers we have counts for
20 papers
Heteroscedastic Neural Surrogate Modeling for Robust and Rapid Bayesian Inference in Fusion Plasma Diagnostics
Liyun Zhang, Naoya Mamada, Kentaro Sakai +2
Bayesian inference via Markov Chain Monte Carlo (MCMC) provides effective parameter estimation, but its real-time application in complex physical systems is hindered by heavy compu…
Bayesian Localization and Uncertainty Quantification of Trace Species in Two-Dimensional SIMS Imaging
Mengchi Wang, Binsheu Shieh, Ichiro Akai +4
To enable accurate localization of trace species on material surfaces, we propose a Bayesian framework for analyzing two-dimensional (2D) secondary ion mass spectrometry (SIMS) ima…
Follow-Your-Preference++: Rethinking Preference Alignment for Image Inpainting
Junkun Yuan, Yutao Shen, Toru Aonishi +2
We study preference alignment for image inpainting. Rather than proposing yet another method, we revisit the problem from first principles and reassess its core challenges. We adop…
A Physics-Regularized Neural Network and Kirchhoff Markov Random Field Framework for Inferring Internal Electrochemical States from Operando Spectromicroscopy
Naoki Wada, Yuta Kimura, Masaichiro Mizumaki +3
Quantitative understanding of coupled reaction-transport dynamics in lithium-ion battery (LIB) composite electrodes is limited by the inaccessibility of key internal electrochemica…
Follow-Your-Preference: Towards Preference-Aligned Image Inpainting
Yutao Shen, Junkun Yuan, Toru Aonishi +2
This paper investigates image inpainting with preference alignment. Instead of introducing a novel method, we go back to basics and revisit fundamental problems in achieving such a…
L0-regularized compressed sensing with Mean-field Coherent Ising Machines
Mastiyage Don Sudeera Hasaranga Gunathilaka, Yoshitaka Inui, Satoshi Kako +4
Coherent Ising Machine (CIM) is a network of optical parametric oscillators that solves combinatorial optimization problems by finding the ground state of an Ising Hamiltonian. As…
Highly Versatile FPGA-Implemented Cyber Coherent Ising Machine
Toru Aonishi, Tatsuya Nagasawa, Toshiyuki Koizumi +5
In recent years, quantum Ising machines have drawn a lot of attention, but due to physical implementation constraints, it has been difficult to achieve dense coupling, such as full…
Mean-field Coherent Ising Machines with artificial Zeeman terms
Mastiyage Don Sudeera Hasaranga Gunathilaka, Yoshitaka Inui, Satoshi Kako +2
Coherent Ising Machine (CIM) is a network of optical parametric oscillators that solves combinatorial optimization problems by finding the ground state of an Ising Hamiltonian. In…
Detection of Non-uniformity in Parameters for Magnetic Domain Pattern Generation by Machine Learning
Naoya Mamada, Masaichiro Mizumaki, Ichiro Akai +1
We estimate the spatial distribution of heterogeneous physical parameters involved in the formation of magnetic domain patterns of polycrystalline thin films by using convolutional…
Effective implementation of -Regularised Compressed Sensing with Chaotic-Amplitude-Controlled Coherent Ising Machines
Mastiyage Don Sudeera Hasaranga Gunathilaka, Satoshi Kako, Yoshitaka Inui +4
Coherent Ising Machine (CIM) is a network of optical parametric oscillators that can solve large-scale combinatorial optimisation problems by finding the ground state of an Ising H…
L0 regularization-based compressed sensing with quantum-classical hybrid approach
Toru Aonishi, Kazushi Mimura, Masato Okada +1
L0-regularization-based compressed sensing (L0-RBCS) has the potential to outperform L1-regularization-based compressed sensing (L1-RBCS), but the optimization in L0-RBCS is diffic…
Non-Negative Matrix Factorization for 2D-XAS Images of Lithium Ion Batteries
Hiroki Tanimoto, Xu Hongkun, Masaishiro Mizumaki +9
Lithium-ion secondary batteries have been used in a wide variety of purposes, such as for powering mobile devices and electric vehicles, but their performance should be improved. O…
Analysis of the Hopfield Model with Discrete Coupling
Ryuta Sasaki, Toru Aonishi
Growing demand for high-speed Ising-computing-specific hardware has prompted a need for determining how the accuracy depends on a hardware implementation with physically limited re…
Optimal Colored Noise for Estimating Phase Response Curves
Kazuhiko Morinaga, Ryota Miyata, Toru Aonishi
The phase response curve (PRC) is an important measure representing the interaction between oscillatory elements. To understand synchrony in biological systems, many research group…
Dynamically-Coupled Oscillators -- Cooperative Behavior via Dynamical Interaction --
Toru Aonishi, Masato Okada
We propose a theoretical framework to study the cooperative behavior of dynamically coupled oscillators (DCOs) that possess dynamical interactions. Then, to understand synchronizat…
Acceleration effect of coupled oscillator systems
Toru Aonishi, Koji Kurata, Masato Okada
We have developed a curved isochron clock (CIC) by modifying the radial isochron clock to provide a clean example of the acceleration (deceleration) effect. By analyzing a two-body…
Multibranch entrainment and slow evolution among branches in coupled oscillators
Toru Aonishi, Masato Okada
In globally coupled oscillators, it is believed that strong higher harmonics of coupling functions are essential for multibranch entrainment (MBE), in which there exist many stable…
Acceleration effect caused by the Onsager reaction term in a frustrated coupled oscillator system
Toru Aonishi, Masato Okada
The role of the Onsager reaction term (ORT) is not yet well understood in frustrated coupled oscillator systems, since the Thouless-Anderson-Palmer (TAP) and replica methods cannot…
Phase Transitions of an Oscillator Neural Network with a Standard Hebb Learning Rule
Toru Aonishi
Studies have been made on the phase transition phenomena of an oscillator network model based on a standard Hebb learning rule like the Hopfield model. The relative phase informati…
A statistical mechanics of an oscillator associative memory with scattered natural frequencies
Toru Aonishi, Koji Kurata, Masato Okada
Analytic treatment of a non-equilibrium random system with large degrees of freedoms is one of most important problems of physics. However, little research has been done on this pr…