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Workshop
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ELUQuant: Event-Level Uncertainty Quantification using Physics-Informed Bayesian Neural Networks with Flow approximated Posteriors - A DIS Study
Cristiano Fanelli · James Giroux
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Poster
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Wed 15:00
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Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks
Ziyi Huang · Henry Lam · Haofeng Zhang
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Workshop
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Predictive Uncertainty Quantification for Graph Neural Network Driven Relaxed Energy Calculations
Joseph Musielewicz · Janice Lan · Matt Uyttendaele
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Poster
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Tue 8:45
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Quantification of Uncertainty with Adversarial Models
Kajetan Schweighofer · Lukas Aichberger · Mykyta Ielanskyi · Günter Klambauer · Sepp Hochreiter
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Poster
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Thu 15:00
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Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
Kexin Huang · Ying Jin · Emmanuel Candes · Jure Leskovec
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Workshop
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Uncertainty Quantification of the Madden–Julian Oscillation with Gaussian Processes
Haoyuan Chen · Emil Constantinescu · Vishwas Rao · Cristiana Stan
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Workshop
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Evaluating Uncertainty Quantification approaches for Neural PDEs in scientific application
Vardhan Dongre · Gurpreet Singh Hora
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Poster
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Wed 8:45
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PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification
Qianli Shen · Wai Hoh Tang · Zhun Deng · Apostolos Psaros · Kenji Kawaguchi
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Workshop
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Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations
Christophe Bonneville · Youngsoo Choi · Debojyoti Ghosh · Jon Belof
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Workshop
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Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification
Shuge Lei
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Workshop
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Evaluating Uncertainty Quantification approaches for Neural PDEs in scientific application
Vardhan Dongre · Gurpreet Singh Hora
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Poster
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Tue 15:15
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Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior
Luke Travis · Kolyan Ray
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