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Uncertainty Quantification with Bayesian Higher Order ReLU KANs

Uncertainty Quantification with Bayesian Higher Order ReLU KANs

J. Giroux
Cristiano Fanelli
    UQCV
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Papers citing "Uncertainty Quantification with Bayesian Higher Order ReLU KANs"

2 / 2 papers shown
Title
Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning
Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning
Amirhossein Mollaali
Christian Moya
Amanda A. Howard
Alexander Heinlein
P. Stinis
Guang Lin
26
0
0
21 Apr 2025
Higher-order-ReLU-KANs (HRKANs) for solving physics-informed neural networks (PINNs) more accurately, robustly and faster
Higher-order-ReLU-KANs (HRKANs) for solving physics-informed neural networks (PINNs) more accurately, robustly and faster
Chi Chiu So
Siu Pang Yung
30
6
0
09 Aug 2024