Cover Image

From Imperfect Signals to Trustworthy Structure: Confidence-Aware Inference from Heterogeneous and Reliability-Varying Utility Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Haoran, Mai, Lihao, Guo, Muhao, Wu, Jiaqi, Weng, Yang, Sun, Yannan, Liu, Ce Jimmy
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scalable and Reliable State-Aware Inference of High-Impact N-k Contingencies
by: Mai, Lihao, et al.
Published: (2026)

Retrieval-Guided Photovoltaic Inventory Estimation from Satellite Imagery for Distribution Grid Planning
by: Guo, Muhao, et al.
Published: (2026)

M$^2$OE$^2$-GL: A Family of Probabilistic Load Forecasters That Scales to Massive Customers
by: Li, Haoran, et al.
Published: (2025)

Graph Structure Learning with Privacy Guarantees for Open Graph Data
by: Guo, Muhao, et al.
Published: (2025)

Efficient Manifold-Constrained Neural ODE for High-Dimensional Datasets
by: Guo, Muhao, et al.
Published: (2025)

Reliable and Private Utility Signaling for Data Markets
by: Peng, Li, et al.
Published: (2025)

External Data-Enhanced Meta-Representation for Adaptive Probabilistic Load Forecasting
by: Li, Haoran, et al.
Published: (2025)

Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning
by: Li, Haoran, et al.
Published: (2025)

Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements
by: Li, Haoran, et al.
Published: (2025)

Predicting Power-System Dynamic Trajectories with Foundation Models
by: Li, Haoran, et al.
Published: (2026)

LASS-ODE: Scaling ODE Computations to Connect Foundation Models with Dynamical Physical Systems
by: Li, Haoran, et al.
Published: (2026)

Solar Photovoltaic Assessment with Large Language Model
by: Guo, Muhao, et al.
Published: (2025)

Cross-Domain Generalization of Multimodal LLMs for Global Photovoltaic Assessment
by: Guo, Muhao, et al.
Published: (2025)

Modeling Time Series Dynamics with Fourier Ordinary Differential Equations
by: Guo, Muhao, et al.
Published: (2025)

U-Trustworthy Models.Reliability, Competence, and Confidence in Decision-Making
by: Vashistha, Ritwik, et al.
Published: (2024)

ExARNN: An Environment-Driven Adaptive RNN for Learning Non-Stationary Power Dynamics
by: Li, Haoran, et al.
Published: (2025)

ASPO: Constraint-Aware Bayesian Optimization for FPGA-based Soft Processors
by: Wu, Haoran, et al.
Published: (2025)

How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities
by: Mo, Lingbo, et al.
Published: (2023)

ReFIne: A Framework for Trustworthy Large Reasoning Models with Reliability, Faithfulness, and Interpretability
by: Sun, Chung-En, et al.
Published: (2025)

A Survey on Trustworthy Edge Intelligence: From Security and Reliability To Transparency and Sustainability
by: Wang, Xiaojie, et al.
Published: (2023)

Valid Inference with Imperfect Synthetic Data
by: Byun, Yewon, et al.
Published: (2025)

Matching under Imperfectly Transferable Utility
by: Galichon, Alfred, et al.
Published: (2024)

Structure-Aware Commitment Reduction for Network-Constrained Unit Commitment with Solver-Preserving Guarantees
by: Wang, Guangwen, et al.
Published: (2026)

Carbon and Reliability-Aware Computing for Heterogeneous Data Centers
by: Zhang, Yichao, et al.
Published: (2025)

Confidence-Aware Alignment Makes Reasoning LLMs More Reliable
by: Chen, Kejia, et al.
Published: (2026)

CAST: Cluster-Aware Self-Training for Tabular Data via Reliable Confidence
by: Kim, Minwook, et al.
Published: (2023)

Confidence Aware Learning for Reliable Face Anti-spoofing
by: Long, Xingming, et al.
Published: (2024)

Data Heterogeneity Modeling for Trustworthy Machine Learning
by: Liu, Jiashuo, et al.
Published: (2025)

Inference in Experiments with Matched Pairs and Imperfect Compliance
by: Bai, Yuehao, et al.
Published: (2023)

Heterogeneous Judge-Aware Ranking with Sensitivity, Disagreement, and Confidence
by: Yu, Shibo, et al.
Published: (2026)

Conformalized Large-Scale Selective Inference with Informative and Trustworthy Prediction Sets
by: Li, Wangcheng, et al.
Published: (2026)

Confidence-Aware Routing for Large Language Model Reliability Enhancement: A Multi-Signal Approach to Pre-Generation Hallucination Mitigation
by: M, Nandakishor
Published: (2025)

ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness
by: Zhang, Yunfei, et al.
Published: (2023)

Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks
by: Zhang, Jiaxing, et al.
Published: (2025)

On the Robustness of Deep Learning-aided Symbol Detectors to Varying Conditions and Imperfect Channel Knowledge
by: Chen, Chin-Hung, et al.
Published: (2024)

ResBench: Benchmarking LLM-Generated FPGA Designs with Resource Awareness
by: Guo, Ce, et al.
Published: (2025)

Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
by: Chi, Hongliang, et al.
Published: (2025)

Orientation‐Aware Reversible Data Hiding With Brainstorming Optimization for UAV Aerial Images
by: Xiaodan Tai, et al.
Published: (2025)

Reinforcement Learning From Imperfect Corrective Actions And Proxy Rewards
by: Jiang, Zhaohui, et al.
Published: (2024)

Operating Imperfect AI: Reliability Drift and Human Congestion
by: Wang, Ziyao, et al.
Published: (2026)