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References (100)

[1]
Conformal Prediction for Long-Tailed Classification
2025Tiffany Ding, Jean-Baptiste Fermanian et al.
[2]
Optimal Conformal Prediction under Epistemic Uncertainty
2025Alireza Javanmardi, Soroush H. Zargarbashi et al.
[3]
Capturing uncertainty in black-box chromatography modelling using conformal prediction and Gaussian processes
2025T. D. Pham, Robert Bassett et al.
[4]
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach
2025Chen-Chen Zong, Sheng-Jun Huang
[5]
A statistical theory of overfitting for imbalanced classification
2025Jingyang Lyu, Kangjie Zhou et al.
[6]
Epistemic Uncertainty in Conformal Scores: A Unified Approach
2025Luben Miguel Cruz Cabezas, Vagner S. Santos et al.
[7]
Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification
2024Kangdao Liu, Tianhao Sun et al.
[8]
Formal Verification and Control with Conformal Prediction
2024Lars Lindemann, Yiqi Zhao et al.
[9]
Entropy Reweighted Conformal Classification
2024Rui Luo, Nicolò Colombo
[10]
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
2024Kai Liu, Zhihang Fu et al.
[11]
Trustworthy Classification through Rank-Based Conformal Prediction Sets
2024Rui Luo, Zhixin Zhou
[12]
Large language model validity via enhanced conformal prediction methods
2024John J. Cherian, Isaac Gibbs et al.
[13]
Energy-based Epistemic Uncertainty for Graph Neural Networks
2024Dominik Fuchsgruber, Tom Wollschlager et al.
[14]
Training-Conditional Coverage Bounds under Covariate Shift
2024Mehrdad Pournaderi, Yu Xiang
[15]
Similarity-Navigated Conformal Prediction for Graph Neural Networks
2024Jianqing Song, Jianguo Huang et al.
[16]
Conformalized Physics-Informed Neural Networks
2024Lena Podina, M. T. Rad et al.
[17]
An Information Theoretic Perspective on Conformal Prediction
2024Alvaro H. C. Correia, F. V. Massoli et al.
[18]
Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?)
2024Paul Novello, Joseba Dalmau et al.
[19]
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits
2024Mintong Kang, Nezihe Merve Gurel et al.
[20]
Uncertainty in Graph Neural Networks: A Survey
2024Fangxin Wang, Yuqing Liu et al.

Showing 20 of 100 references

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"Enhancing conformal classification adaptiveness using Helmholtz Free Energy for better uncertainty quantification."

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