:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sun, Tongda, Yin, Chen, Zheng, Huailiang, Dong, Yining
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2506.05438
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Constraint-Guided Learning of Data-driven Health Indicator Models: An Application on the Pronostia Bearing Dataset
by: Tefera, Yonas, et al.
Published: (2025)

Utilizing Autoregressive Networks for Full Lifecycle Data Generation of Rolling Bearings for RUL Prediction
by: Wang, Junliang, et al.
Published: (2024)

CARLE: A Hybrid Deep-Shallow Learning Framework for Robust and Explainable RUL Estimation of Rolling Element Bearings
by: Razzaq, Waleed, et al.
Published: (2025)

Hierarchical Neural Constructive Solver for Real-world TSP Scenarios
by: Goh, Yong Liang, et al.
Published: (2024)

From Bias to Behavior: Learning Bull-Bear Market Dynamics with Contrastive Modeling
by: Luo, Xiaotong, et al.
Published: (2025)

Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling
by: Li, Sirui, et al.
Published: (2025)

Knowledge-Aware Modeling with Frequency Adaptive Learning for Battery Health Prognostics
by: Pamshetti, Vijay Babu, et al.
Published: (2025)

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting
by: Pang, Yining, et al.
Published: (2024)

CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
by: Yin, Nan, et al.
Published: (2023)

AI-Driven Prognostics for State of Health Prediction in Li-ion Batteries: A Comprehensive Analysis with Validation
by: Ding, Tianqi, et al.
Published: (2025)

Learning Multi-Indicator Weights for Data Selection: A Joint Task-Model Adaptation Framework with Efficient Proxies
by: Song, Jingze, et al.
Published: (2026)

DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability
by: Cheuk, Kin Wai, et al.
Published: (2022)

Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial
by: Nemani, Venkat, et al.
Published: (2023)

The Paradox of Outcome Optimization: A Causal Information-Theoretic Bound on Reasoning Shortcuts in LLMs
by: Chen, Zihan, et al.
Published: (2026)

RAG4Outcome: A Retrieval-Augmented Multimodal Framework for Prognostic Prediction in Chronic Osteomyelitis
by: Shi, Daqian, et al.
Published: (2026)

RollingQ: Reviving the Cooperation Dynamics in Multimodal Transformer
by: Ni, Haotian, et al.
Published: (2025)

A Comprehensive Survey on Evidential Deep Learning and Its Applications
by: Gao, Junyu, et al.
Published: (2024)

Health Index Estimation Through Integration of General Knowledge with Unsupervised Learning
by: Bajarunas, Kristupas, et al.
Published: (2024)

Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications
by: Lu, Mingfei, et al.
Published: (2024)

Learning Spatio-Temporal Dynamics for Trajectory Recovery via Time-Aware Transformer
by: Sun, Tian, et al.
Published: (2025)

Domain-Adaptive Health Indicator Learning with Degradation-Stage Synchronized Sampling and Cross-Domain Autoencoder
by: Choo, Jungho, et al.
Published: (2026)

Neural Dynamics-Informed Pre-trained Framework for Personalized Brain Functional Network Construction
by: Jiang, Hongjie, et al.
Published: (2026)

Unsupervised Distance Metric Learning for Anomaly Detection Over Multivariate Time Series
by: Yuan, Hanyang, et al.
Published: (2024)

Robust Unsupervised Fault Diagnosis For High-Dimensional Nonlinear Noisy Data
by: Zhao, Dandan, et al.
Published: (2025)

Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics
by: Cachay, Salva Rühling, et al.
Published: (2025)

Identifying Selections for Unsupervised Subtask Discovery
by: Qiu, Yiwen, et al.
Published: (2024)

Rethinking RL Evaluation: Can Benchmarks Truly Reveal Failures of RL Methods?
by: Chen, Zihan, et al.
Published: (2025)

An Unsupervised Learning Framework Combined with Heuristics for the Maximum Minimal Cut Problem
by: Liu, Huaiyuan, et al.
Published: (2024)

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics
by: Ramirez, Ibai, et al.
Published: (2026)

Dynamic Graph Condensation
by: Chen, Dong, et al.
Published: (2025)

A Dual-Stream Physics-Augmented Unsupervised Architecture for Runtime Embedded Vehicle Health Monitoring
by: Spotorno, Enzo Nicolas, et al.
Published: (2026)

Internalizing Curriculum Judgment for LLM Reinforcement Fine-Tuning
by: Zheng, Han, et al.
Published: (2026)

Predictive Modeling with Temporal Graphical Representation on Electronic Health Records
by: Chen, Jiayuan, et al.
Published: (2024)

Developing Distance-Aware, and Evident Uncertainty Quantification in Dynamic Physics-Constrained Neural Networks for Robust Bearing Degradation Estimation
by: Razzaq, Waleed, et al.
Published: (2025)

Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
by: Liao, Xinting, et al.
Published: (2024)

Decision-making with Speculative Opponent Models
by: Sun, Jing, et al.
Published: (2022)

An Advanced Convolutional Neural Network for Bearing Fault Diagnosis under Limited Data
by: Sun, Shengke, et al.
Published: (2025)

SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding
by: Zhou, Yangxuan, et al.
Published: (2025)

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs
by: Bai, Sen, et al.
Published: (2025)

K-means Derived Unsupervised Feature Selection using Improved ADMM
by: Sun, Ziheng, et al.
Published: (2024)