:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Idé, Tsuyoshi, Miyaguchi, Kohei
Format:	Preprint
Published:	2025
Subjects:	Systems and Control Machine Learning
Online Access:	https://arxiv.org/abs/2508.00895
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Wafer Defect Root Cause Analysis with Partial Trajectory Regression
by: Miyaguchi, Kohei, et al.
Published: (2025)

Sequence-Aware Inline Measurement Attribution for Good-Bad Wafer Diagnosis
by: Miyaguchi, Kohei, et al.
Published: (2025)

On Dissipativity of Cross-Entropy Loss in Training ResNets
by: Püttschneider, Jens, et al.
Published: (2024)

Formation Shape Control using the Gromov-Wasserstein Metric
by: Nakashima, Haruto, et al.
Published: (2025)

Black-Box Anomaly Attribution
by: Idé, Tsuyoshi, et al.
Published: (2023)

A KAN-based Interpretable Framework for Process-Informed Prediction of Global Warming Potential
by: Lee, Jaewook, et al.
Published: (2024)

PID Tuning using Cross-Entropy Deep Learning: a Lyapunov Stability Analysis
by: Kohler, Hector, et al.
Published: (2024)

Power Flow Approximations for Multiphase Distribution Networks using Gaussian Processes
by: Glover, Daniel, et al.
Published: (2025)

Fault Diagnosis on Induction Motor using Machine Learning and Signal Processing
by: Samiullah, Muhammad, et al.
Published: (2024)

Analysis of Thompson Sampling for Controlling Unknown Linear Diffusion Processes
by: Faradonbeh, Mohamad Kazem Shirani, et al.
Published: (2022)

Enhancing Network Security Management in Water Systems using FM-based Attack Attribution
by: Avdalovic, Aleksandar, et al.
Published: (2025)

Path Learning with Trajectory Advantage Regression
by: Miyaguchi, Kohei
Published: (2025)

Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes
by: Chung, Seokhyun, et al.
Published: (2024)

Multi-Agent Soft Actor-Critic with Coordinated Loss for Autonomous Mobility-on-Demand Fleet Control
by: Woywood, Zeno, et al.
Published: (2024)

Region of Attraction for Power Systems using Gaussian Process and Converse Lyapunov Function -- Part I: Theoretical Framework and Off-line Study
by: Zhai, Chao, et al.
Published: (2019)

Koopman-Equivariant Gaussian Processes
by: Bevanda, Petar, et al.
Published: (2025)

Condition Monitoring with Machine Learning: A Data-Driven Framework for Quantifying Wind Turbine Energy Loss
by: Buchberg, Emil Marcus, et al.
Published: (2025)

Fault Detection and Identification Using a Novel Process Decomposition Algorithm for Distributed Process Monitoring
by: Villagomez, Enrique Luna, et al.
Published: (2024)

Physics-informed Gaussian Processes as Linear Model Predictive Controller
by: Tebbe, Jörn, et al.
Published: (2024)

Polynomial Chaos Expanded Gaussian Process
by: Polke, Dominik, et al.
Published: (2024)

Bayesian Optimization of Process Parameters of a Sensor-Based Sorting System using Gaussian Processes as Surrogate Models
by: Kronenwett, Felix, et al.
Published: (2025)

Taking Second-life Batteries from Exhausted to Empowered using Experiments, Data Analysis, and Health Estimation
by: Cui, Xiaofan, et al.
Published: (2024)

Finite-Sample-Based Reachability for Safe Control with Gaussian Process Dynamics
by: Prajapat, Manish, et al.
Published: (2025)

Online Reinforcement Learning in Markov Decision Process Using Linear Programming
by: Leon, Vincent, et al.
Published: (2023)

Data-driven Force Observer for Human-Robot Interaction with Series Elastic Actuators using Gaussian Processes
by: Tesfazgi, Samuel, et al.
Published: (2024)

Concentration of Cumulative Reward in Markov Decision Processes
by: Sayedana, Borna, et al.
Published: (2024)

Stability Enhanced Gaussian Process Variational Autoencoders
by: Richardson, Carl R., et al.
Published: (2026)

Recursive Gaussian Process State Space Model
by: Zheng, Tengjie, et al.
Published: (2024)

Symbolic Regression on Sparse and Noisy Data with Gaussian Processes
by: Hsin, Junette, et al.
Published: (2023)

Cross-fitted Proximal Learning for Model-Based Reinforcement Learning
by: Venkatesh, Nishanth, et al.
Published: (2026)

Bayesian Ambiguity Contraction-based Adaptive Robust Markov Decision Processes for Adversarial Surveillance Missions
by: Choi, Jimin, et al.
Published: (2025)

Generative Model Predictive Control in Manufacturing Processes: A Review
by: Lee, Suk Ki, et al.
Published: (2025)

First Contact: Data-driven Friction-Stir Process Control
by: Koch, James, et al.
Published: (2025)

Learning Dynamics from Input-Output Data with Hamiltonian Gaussian Processes
by: Ewering, Jan-Hendrik, et al.
Published: (2025)

Automated Discovery of Laser Dicing Processes with Bayesian Optimization for Semiconductor Manufacturing
by: Leeftink, David, et al.
Published: (2025)

Active Learning of Dynamics Using Prior Domain Knowledge in the Sampling Process
by: Miller, Kevin S., et al.
Published: (2024)

Learning Markov Processes as Sum-of-Square Forms for Analytical Belief Propagation
by: Amorese, Peter, et al.
Published: (2026)

Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
by: Lederer, Armin, et al.
Published: (2019)

On the Global Convergence of Policy Gradient in Average Reward Markov Decision Processes
by: Kumar, Navdeep, et al.
Published: (2024)

Deep Reinforcement Learning-driven Cross-Community Energy Interaction Optimal Scheduling
by: Li, Yang, et al.
Published: (2023)