ICLR 2025 "uncertainty quantification" Papers

8 papers found

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Conference

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Paper Type

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Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space

Mengjing Wu, Junyu Xuan, Jie Lu

ICLR 2025poster

CBMA: Improving Conformal Prediction through Bayesian Model Averaging

Pankaj Bhagwat, Linglong Kong, Bei Jiang

ICLR 2025posterarXiv:2511.16924
2
citations

Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion

Minkyoung Cho, Yulong Cao, Jiachen Sun et al.

ICLR 2025posterarXiv:2410.12592
5
citations

Distribution-Free Data Uncertainty for Neural Network Regression

Domokos M. Kelen, Ádám Jung, Péter Kersch et al.

ICLR 2025poster
3
citations

Error-quantified Conformal Inference for Time Series

Junxi Wu, Dongjian Hu, Yajie Bao et al.

ICLR 2025oralarXiv:2502.00818
8
citations

Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning

Yan Scholten, Stephan Günnemann

ICLR 2025posterarXiv:2410.09878
2
citations

Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations

Richard Bergna, Sergio Calvo Ordoñez, Felix Opolka et al.

ICLR 2025posterarXiv:2408.16115
7
citations

Valid Conformal Prediction for Dynamic GNNs

Ed Davis, Ian Gallagher, Daniel Lawson et al.

ICLR 2025posterarXiv:2405.19230
7
citations