MCMC Informed Neural Emulators for Uncertainty Quantification in Dynamical Systems

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References (44)

[1]
Meta-modelling paths of simple climate models using neural networks and dirichlet polynomials: an application to DICE
2025Emmanuel Gobet, Yushan Liu et al.
[2]
A foundation model for the Earth system
2025Cristian Bodnar, W. Bruinsma et al.
[3]
Adaptive Movement Sampling Physics-Informed Residual Network (AM-PIRN) for Solving Nonlinear Option Pricing models
2025Qinjiao Gao, Zuowei Wang et al.
[4]
Learning Where to Learn: Training Distribution Selection for Provable OOD Performance
2025Nicolas Guerra, N. Nelsen et al.
[5]
Uncertainty Quantification in Portfolio Temperature Alignment
2024Hendrik Weichel, A. Zinovev et al.
[6]
Multiscale corrections by continuous super-resolution
2024Zhi-Song Liu, Roland Maier et al.
[7]
Accurate prediction of protein function using statistics-informed graph networks
2024Yaan J. Jang, Qi-Qi Qin et al.
[8]
Neural Network Emulator for Atmospheric Chemical ODE
2024Zhi-Song Liu, Petri Clusius et al.
[9]
A Physics informed neural network approach for solving time fractional Black-Scholes partial differential equations
2024Samuel M. Nuugulu, K. Patidar et al.
[10]
From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
2024Xin Li, Jingdong Zhang et al.
[11]
Multiscale Attention Wavelet Neural Operator for Capturing Steep Trajectories in Biochemical Systems
2024Jiayang Su, Jun Ma et al.
[12]
Hybrid2 Neural ODE Causal Modeling and an Application to Glycemic Response
2024B. Zou, M. Levine et al.
[13]
FunnyNet-W: Multimodal Learning of Funny Moments in Videos in the Wild
2024Zhi-Song Liu, Robin Courant et al.
[14]
Speeding up astrochemical reaction networks with autoencoders and neural ODEs
2023Immanuel Sulzer, Tobias Buck
[15]
Graph Machine Learning for Improved Imputation of Missing Tropospheric Ozone Data
2023Clara Betancourt, C. Li et al.
[16]
A practical PINN framework for multi-scale problems with multi-magnitude loss terms
2023Y. Wang, Yanzhong Yao et al.
[17]
Parareal with a physics-informed neural network as coarse propagator
2023A. Ibrahim, Sebastian Götschel et al.
[18]
GNOT: A General Neural Operator Transformer for Operator Learning
2023Zhongkai Hao, Chengyang Ying et al.
[19]
Stabilized Neural Ordinary Differential Equations for Long-Time Forecasting of Dynamical Systems
2022Alec J. Linot, J. Burby et al.
[20]
Combining Machine Learning and Satellite Observations to Predict Spatial and Temporal Variation of near Surface OH in North American Cities.
2022Qindan Zhu, J. Laughner et al.

Showing 20 of 44 references

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"A novel approach to uncertainty quantification in dynamical systems using MCMC-informed neural emulators."

Uncertainty QuantificationScore: 2View PDF ↗

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