Cover Image

Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tang, Jichuan, Brewick, Patrick T., McClarren, Ryan G., Sweet, Christopher
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

High Energy Density Radiative Transfer in the Diffusion Regime with Fourier Neural Operators
by: Farmer, Joseph, et al.
Published: (2024)

State Legislation Relating to Library Systems
by: McClarren, Robert R.
Published: (1970)

Curvilinear coordinates and curvature in radiative transport
by: Krotz, Johannes, et al.
Published: (2025)

Collision-Based Hybrid Method for Two-Dimensional Neutron Transport Problems
by: Whewell, Ben, et al.
Published: (2025)

Scatter-Limited Hybrid Monte Carlo, Deterministic Transport with Quasi-Monte Carlo Sampling
by: Krotz, Johannes, et al.
Published: (2025)

Fast, Accurate Numerical Evaluation of Incomplete Planck Integrals
by: Lewis, Whit, et al.
Published: (2025)

A unified theory of the self-similar supersonic Marshak wave problem
by: Krief, Menahem, et al.
Published: (2024)

Self-similar solutions for the non-equilibrium nonlinear supersonic Marshak wave problem
by: Krief, Menahem, et al.
Published: (2024)

Community Analysis.
by: McClarren, Robert R.
Published: (1967)

Implicit Collision Multiplicity Adjustment for Efficient Monte Carlo Transport Simulation of Reactivity Excursion
by: Variansyah, Ilham, et al.
Published: (2025)

Derivative Source Method for Monte Carlo Transport Calculation of Sensitivities to Material Densities and Dimensions
by: Variansyah, Ilham, et al.
Published: (2025)

Consistent Solutions of the Radiation Diffusion Equation in Spherical and Cylindrical Geometries
by: Smith, Ethan, et al.
Published: (2025)

Weak-DMD: A Galerkin approach to the problem of noise in the Dynamic Mode Decomposition algorithm
by: Bennett, William, et al.
Published: (2026)

Non-intrusive Learning of Physics-Informed Spatio-temporal Surrogate for Accelerating Design
by: Mondal, Sudeepta, et al.
Published: (2026)

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence
by: Pasmann, Samuel, et al.
Published: (2025)

Deep Learning Surrogates for Emulating Stochastic Climate Tipping Dynamics
by: Hillier, Adeline, et al.
Published: (2026)

Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts
by: Wang, Kun, et al.
Published: (2024)

Structure-Aware Epistemic Uncertainty Quantification for Neural Operator PDE Surrogates
by: Song, Haoze, et al.
Published: (2026)

Mitigating Spatial Error in the iterative-Quasi-Monte Carlo (iQMC) Method for Neutron Transport Simulations with Linear Discontinuous Source Tilting and Effective Scattering and Fission Rate Tallies
by: Pasmann, Samuel, et al.
Published: (2024)

Numerical Robustness of PINNs for Multiscale Transport Equations
by: Jesser, Alexander, et al.
Published: (2024)

Deep Learning-Based Metamodeling of Nonlinear Stochastic Dynamic Systems under Parametric and Predictive Uncertainty
by: Atila, Haimiti, et al.
Published: (2026)

Modeling Spatio-temporal Extremes via Conditional Variational Autoencoders
by: Ma, Xiaoyu, et al.
Published: (2025)

DarkFarseer: Robust Spatio-temporal Kriging under Graph Sparsity and Noise
by: Liang, Zhuoxuan, et al.
Published: (2025)

Direct Interval Propagation Methods using Neural-Network Surrogates for Uncertainty Quantification in Physical Systems Surrogate Model
by: Faza, Ghifari Adam, et al.
Published: (2026)

DRAN: A Distribution and Relation Adaptive Network for Spatio-temporal Forecasting
by: Zou, Xiaobei, et al.
Published: (2025)

Crime Forecasting: A Spatio-temporal Analysis with Deep Learning Models
by: Mao, Li, et al.
Published: (2025)

Deep Operator Networks for Surrogate Modeling of Cyclic Adsorption Processes with Varying Initial Conditions
by: Ceccanti, Beatrice, et al.
Published: (2026)

Fast, Precise Thompson Sampling for Bayesian Optimization
by: Sweet, David
Published: (2024)

Generative Monte Carlo Sampling for Constant-Cost Particle Transport
by: Farmer, Joseph A., et al.
Published: (2025)

Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences
by: Dai, Runpeng, et al.
Published: (2024)

ConfEviSurrogate: A Conformalized Evidential Surrogate Model for Uncertainty Quantification
by: Duan, Yuhan, et al.
Published: (2025)

Deep Learning Surrogates for Real-Time Gas Emission Inversion
by: Newman, Thomas, et al.
Published: (2025)

Total Uncertainty Quantification in Inverse PDE Solutions Obtained with Reduced-Order Deep Learning Surrogate Models
by: Wang, Yuanzhe, et al.
Published: (2024)

Conformalized Polynomial Chaos Expansion for Uncertainty-aware Surrogate Modeling
by: Loukrezis, Dimitrios, et al.
Published: (2025)

Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference
by: Reiser, Philipp, et al.
Published: (2023)

PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty
by: Shustin, Paz Fink, et al.
Published: (2022)

Few-Shot Learning for Dynamic Operations of Automated Electric Taxi Fleets under Evolving Charging Infrastructure: A Meta-Deep Reinforcement Learning Approach
by: Li, Xiaozhuang, et al.
Published: (2026)

Advancing Spatio-temporal Storm Surge Prediction with Hierarchical Deep Neural Networks
by: Naeini, Saeed Saviz, et al.
Published: (2024)

System States Forecasting of Microservices with Dynamic Spatio-Temporal Data
by: Xu, Yifei, et al.
Published: (2024)

StFT: Spatio-temporal Fourier Transformer for Long-term Dynamics Prediction
by: Long, Da, et al.
Published: (2025)