"aleatoric uncertainty" Papers
14 papers found
Conference
Architectural and Inferential Inductive Biases for Exchangeable Sequence Modeling
Daksh Mittal, Leon Li, Thomson Yen et al.
NEURIPS 2025arXiv:2503.01215
1
citations
Distribution-Free Data Uncertainty for Neural Network Regression
Domokos M. Kelen, Ádám Jung, Péter Kersch et al.
ICLR 2025
3
citations
From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation
Nikita Kotelevskii, Vladimir Kondratyev, Martin Takáč et al.
ICLR 2025arXiv:2402.10727
17
citations
Improving Uncertainty Estimation through Semantically Diverse Language Generation
Lukas Aichberger, Kajetan Schweighofer, Mykyta Ielanskyi et al.
ICLR 2025arXiv:2406.04306
28
citations
On Rollouts in Model-Based Reinforcement Learning
Bernd Frauenknecht, Devdutt Subhasish, Friedrich Solowjow et al.
ICLR 2025arXiv:2501.16918
1
citations
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations
Richard Bergna, Sergio Calvo Ordoñez, Felix Opolka et al.
ICLR 2025arXiv:2408.16115
8
citations
Variational Uncertainty Decomposition for In-Context Learning
I. Shavindra Jayasekera, Jacob Si, Filippo Valdettaro et al.
NEURIPS 2025arXiv:2509.02327
2
citations
Vicinal Label Supervision for Reliable Aleatoric and Epistemic Uncertainty Estimation
Linye Li, Yufei Chen, Xiaodong Yue
NEURIPS 2025
Beyond the Norms: Detecting Prediction Errors in Regression Models
Andres Altieri, Marco Romanelli, Georg Pichler et al.
ICML 2024spotlightarXiv:2406.06968
1
citations
Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling
Bairu Hou, Yujian Liu, Kaizhi Qian et al.
ICML 2024arXiv:2311.08718
101
citations
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression
Xuanlong Yu, Gianni Franchi, Jindong Gu et al.
AAAI 2024paperarXiv:2308.09065
8
citations
Distinguishing the Knowable from the Unknowable with Language Models
Gustaf Ahdritz, Tian Qin, Nikhil Vyas et al.
ICML 2024arXiv:2402.03563
41
citations
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
Mira Juergens, Nis Meinert, Viktor Bengs et al.
ICML 2024
On the Estimation of Image-matching Uncertainty in Visual Place Recognition
Mubariz Zaffar, Liangliang Nan, Julian F. P. Kooij
CVPR 2024highlightarXiv:2404.00546
12
citations