Saved in:
| Main Authors: | Yang, Yunjia, Li, Runze, Zhang, Yufei, Chen, Haixin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.21956 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Rapid aerodynamic prediction of swept wings via physics-embedded transfer learning
by: Yang, Yunjia, et al.
Published: (2024)
by: Yang, Yunjia, et al.
Published: (2024)
Machine-learning-based multipoint optimization of fluidic injection parameters for improving nozzle performance
by: Yang, Yunjia, et al.
Published: (2024)
by: Yang, Yunjia, et al.
Published: (2024)
Fast buffet onset prediction and optimization method based on a pre-trained flowfield prediction model
by: Yang, Yunjia, et al.
Published: (2024)
by: Yang, Yunjia, et al.
Published: (2024)
SuperWing: a comprehensive transonic wing dataset for data-driven aerodynamic design
by: Yang, Yunjia, et al.
Published: (2025)
by: Yang, Yunjia, et al.
Published: (2025)
Fast-DataShapley: Neural Modeling for Training Data Valuation
by: Sun, Haifeng, et al.
Published: (2025)
by: Sun, Haifeng, et al.
Published: (2025)
Mesh-Agnostic Decoders for Supercritical Airfoil Prediction and Inverse Design
by: Li, Runze, et al.
Published: (2024)
by: Li, Runze, et al.
Published: (2024)
Towards Reliable, Uncertainty-Aware Alignment
by: Banerjee, Debangshu, et al.
Published: (2025)
by: Banerjee, Debangshu, et al.
Published: (2025)
Geometry-Aware Neural Optimizer for Shape Optimization and Inversion
by: Sun, Guoze, et al.
Published: (2026)
by: Sun, Guoze, et al.
Published: (2026)
Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA
by: Zhang, Zehuan, et al.
Published: (2024)
by: Zhang, Zehuan, et al.
Published: (2024)
FAPO: Flawed-Aware Policy Optimization for Efficient and Reliable Reasoning
by: Ding, Yuyang, et al.
Published: (2025)
by: Ding, Yuyang, et al.
Published: (2025)
Uncertainty-Aware Foundation Models for Clinical Data
by: Zhou, Qian, et al.
Published: (2026)
by: Zhou, Qian, et al.
Published: (2026)
UCPO: Uncertainty-Aware Policy Optimization
by: Zeng, Xianzhou, et al.
Published: (2026)
by: Zeng, Xianzhou, et al.
Published: (2026)
Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation
by: Radharapu, Bhaktipriya, et al.
Published: (2025)
by: Radharapu, Bhaktipriya, et al.
Published: (2025)
Uncertainty Awareness of Large Language Models Under Code Distribution Shifts: A Benchmark Study
by: Li, Yufei, et al.
Published: (2024)
by: Li, Yufei, et al.
Published: (2024)
LoSiA: Efficient High-Rank Fine-Tuning via Subnet Localization and Optimization
by: Wang, Xujia, et al.
Published: (2025)
by: Wang, Xujia, et al.
Published: (2025)
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods
by: Zhang, Jiaxin, et al.
Published: (2024)
by: Zhang, Jiaxin, et al.
Published: (2024)
Density Uncertainty Layers for Reliable Uncertainty Estimation
by: Park, Yookoon, et al.
Published: (2023)
by: Park, Yookoon, et al.
Published: (2023)
Set-based v.s. Distribution-based Representations of Epistemic Uncertainty: A Comparative Study
by: Wang, Kaizheng, et al.
Published: (2026)
by: Wang, Kaizheng, et al.
Published: (2026)
Beyond Predictive Uncertainty: Reliable Representation Learning with Structural Constraints
by: Yang, Yiyao
Published: (2026)
by: Yang, Yiyao
Published: (2026)
Uncertainty-Aware Out-of-Distribution Detection with Gaussian Processes
by: Chen, Yang, et al.
Published: (2024)
by: Chen, Yang, et al.
Published: (2024)
FedUAF: Uncertainty-Aware Fusion with Reliability-Guided Aggregation for Multimodal Federated Sentiment Analysis
by: Zhu, Xianxun, et al.
Published: (2026)
by: Zhu, Xianxun, et al.
Published: (2026)
Robustness Quantification and Uncertainty Quantification: Comparing Two Methods for Assessing the Reliability of Classifier Predictions
by: Detavernier, Adrián, et al.
Published: (2026)
by: Detavernier, Adrián, et al.
Published: (2026)
Shifting Uncertainty to Critical Moments: Towards Reliable Uncertainty Quantification for VLA Model
by: Tang, Yanchuan, et al.
Published: (2026)
by: Tang, Yanchuan, et al.
Published: (2026)
SEABO: A Simple Search-Based Method for Offline Imitation Learning
by: Lyu, Jiafei, et al.
Published: (2024)
by: Lyu, Jiafei, et al.
Published: (2024)
FedSUM Family: Efficient Federated Learning Methods under Arbitrary Client Participation
by: You, Runze, et al.
Published: (2025)
by: You, Runze, et al.
Published: (2025)
RobustVLA: Robustness-Aware Reinforcement Post-Training for Vision-Language-Action Models
by: Zhang, Hongyin, et al.
Published: (2025)
by: Zhang, Hongyin, et al.
Published: (2025)
Graph-Based Uncertainty-Aware Self-Training with Stochastic Node Labeling
by: Liu, Tom, et al.
Published: (2025)
by: Liu, Tom, et al.
Published: (2025)
Capacity-Aware Mixture Law Enables Efficient LLM Data Optimization
by: Li, Jingwei, et al.
Published: (2026)
by: Li, Jingwei, et al.
Published: (2026)
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
by: Li, Yang, et al.
Published: (2025)
by: Li, Yang, et al.
Published: (2025)
UBMF: Uncertainty-Aware Bayesian Meta-Learning Framework for Fault Diagnosis with Imbalanced Industrial Data
by: Lian, Zhixuan, et al.
Published: (2025)
by: Lian, Zhixuan, et al.
Published: (2025)
PRISM: Preference-Aware Influence Function Based Data Selection Method for Efficient Fine-Tuning
by: Lin, Qihao, et al.
Published: (2026)
by: Lin, Qihao, et al.
Published: (2026)
Uncertainty-Aware Graph Self-Training with Expectation-Maximization Regularization
by: Wang, Emily, et al.
Published: (2025)
by: Wang, Emily, et al.
Published: (2025)
Ranking-Aware Calibration for Reliable Multimodal Reinforcement Learning
by: Cui, Peng, et al.
Published: (2026)
by: Cui, Peng, et al.
Published: (2026)
Coordinated Sparse Recovery of Label Noise
by: Yang, Yukun, et al.
Published: (2024)
by: Yang, Yukun, et al.
Published: (2024)
Data-Aware Training Quality Monitoring and Certification for Reliable Deep Learning
by: Yeganegi, Farhang, et al.
Published: (2024)
by: Yeganegi, Farhang, et al.
Published: (2024)
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration
by: Huang, Siguang, et al.
Published: (2022)
by: Huang, Siguang, et al.
Published: (2022)
Uncertainty-Aware Graph Structure Learning
by: Han, Shen, et al.
Published: (2025)
by: Han, Shen, et al.
Published: (2025)
Data-Driven Priors for Uncertainty-Aware Deterioration Risk Prediction with Multimodal Data
by: López, L. Julián Lechuga, et al.
Published: (2026)
by: López, L. Julián Lechuga, et al.
Published: (2026)
Your Attention Matters: to Improve Model Robustness to Noise and Spurious Correlations
by: Tamayo-Rousseau, Camilo, et al.
Published: (2025)
by: Tamayo-Rousseau, Camilo, et al.
Published: (2025)
Uncertainty Reliability Under Domain Shift: An Investigation for Data-Driven Blood Pressure Estimation in Photoplethysmography
by: Moulaeifard, Mohammad, et al.
Published: (2026)
by: Moulaeifard, Mohammad, et al.
Published: (2026)
Similar Items
-
Rapid aerodynamic prediction of swept wings via physics-embedded transfer learning
by: Yang, Yunjia, et al.
Published: (2024) -
Machine-learning-based multipoint optimization of fluidic injection parameters for improving nozzle performance
by: Yang, Yunjia, et al.
Published: (2024) -
Fast buffet onset prediction and optimization method based on a pre-trained flowfield prediction model
by: Yang, Yunjia, et al.
Published: (2024) -
SuperWing: a comprehensive transonic wing dataset for data-driven aerodynamic design
by: Yang, Yunjia, et al.
Published: (2025) -
Fast-DataShapley: Neural Modeling for Training Data Valuation
by: Sun, Haifeng, et al.
Published: (2025)