:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Mendes, Pedro, Romano, Paolo, Garlan, David
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2506.15850
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment
by: Mendes, Pedro, et al.
Published: (2025)

Error-Driven Uncertainty Aware Training
by: Mendes, Pedro, et al.
Published: (2024)

Hyper-parameter Tuning for Adversarially Robust Models
by: Mendes, Pedro, et al.
Published: (2023)

Perceptions of Linguistic Uncertainty by Language Models and Humans
by: Belem, Catarina G, et al.
Published: (2024)

GreenFactory: Ensembling Zero-Cost Proxies to Estimate Performance of Neural Networks
by: Cortês, Gabriel, et al.
Published: (2025)

Efficient Epistemic Uncertainty Estimation in Regression Ensemble Models Using Pairwise-Distance Estimators
by: Berry, Lucas, et al.
Published: (2023)

Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
by: Wang, Kaizheng, et al.
Published: (2024)

CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
by: Wang, Kaizheng, et al.
Published: (2024)

Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks
by: Schnaus, Dominik, et al.
Published: (2023)

Uncertainty Quantification and Data Efficiency in AI: An Information-Theoretic Perspective
by: Simeone, Osvaldo, et al.
Published: (2025)

Impact of Employing Weather Forecast Data as Input to the Estimation of Evapotranspiration by Deep Neural Network Models
by: Vaz, Pedro J., et al.
Published: (2024)

On the Epistemic Uncertainty of Overparametrized Neural Networks
by: Rügamer, David
Published: (2026)

Studying and Improving Graph Neural Network-based Motif Estimation
by: Vieira, Pedro C., et al.
Published: (2025)

Uncertainty-aware Human Mobility Modeling and Anomaly Detection
by: Wen, Haomin, et al.
Published: (2024)

Language Models can Self-Improve at State-Value Estimation for Better Search
by: Mendes, Ethan, et al.
Published: (2025)

From Classical to Topological Neural Networks Under Uncertainty
by: Dayton, Sarah Harkins, et al.
Published: (2026)

Dealing with Uncertainty in Contextual Anomaly Detection
by: Bindini, Luca, et al.
Published: (2025)

Artificial Conversations, Real Results: Fostering Language Detection with Synthetic Data
by: Mohammadi, Fatemeh, et al.
Published: (2025)

Unified Uncertainty Estimation for Cognitive Diagnosis Models
by: Wang, Fei, et al.
Published: (2024)

DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling
by: Akhare, Deepak, et al.
Published: (2023)

Generalised Probabilistic Modelling and Improved Uncertainty Estimation in Comparative LLM-as-a-judge
by: Fathullah, Yassir, et al.
Published: (2025)

Efficient Epistemic Uncertainty Estimation for Large Language Models via Knowledge Distillation
by: Park, Seonghyeon, et al.
Published: (2026)

Uncertainty Estimation using Variance-Gated Distributions
by: Gillis, H. Martin, et al.
Published: (2025)

Reconsidering LLM Uncertainty Estimation Methods in the Wild
by: Bakman, Yavuz, et al.
Published: (2025)

Scale-Dropout: Estimating Uncertainty in Deep Neural Networks Using Stochastic Scale
by: Ahmed, Soyed Tuhin, et al.
Published: (2023)

Evidential Transformation Network: Turning Pretrained Models into Evidential Models for Post-hoc Uncertainty Estimation
by: Chun, Yongchan, et al.
Published: (2026)

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)

Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learning
by: Pourkamali-Anaraki, Farhad, et al.
Published: (2024)

Revisiting Uncertainty Estimation and Calibration of Large Language Models
by: Tao, Linwei, et al.
Published: (2025)

How Uncertainty Estimation Scales with Sampling in Reasoning Models
by: Del, Maksym, et al.
Published: (2026)

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression
by: Sun, Tao, et al.
Published: (2024)

General Uncertainty Estimation with Delta Variances
by: Schmitt, Simon, et al.
Published: (2025)

REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
by: Wickstrøm, Kristoffer K., et al.
Published: (2024)

CUPID: A Plug-in Framework for Joint Aleatoric and Epistemic Uncertainty Estimation with a Single Model
by: Xu, Xinran, et al.
Published: (2026)

Quantile-Free Uncertainty Quantification in Graph Neural Networks
by: park, Soyoung, et al.
Published: (2026)

Uncertainty Quantification for Gradient-based Explanations in Neural Networks
by: Mulye, Mihir, et al.
Published: (2024)

USE: Uncertainty Structure Estimation for Robust Semi-Supervised Learning
by: Chen, Tsao-Lun, et al.
Published: (2026)

Scalable and Efficient Methods for Uncertainty Estimation and Reduction in Deep Learning
by: Ahmed, Soyed Tuhin
Published: (2024)

Improving Uncertainty Estimation through Semantically Diverse Language Generation
by: Aichberger, Lukas, et al.
Published: (2024)

Accelerating Residual Reinforcement Learning with Uncertainty Estimation
by: Dodeja, Lakshita, et al.
Published: (2025)