Exact Conditional Score-Guided Generative Modeling for Amortized Inference in Uncertainty Quantification
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhang, Zezhong, Tatsuoka, Caroline, Xiu, Dongbin, Zhang, Guannan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Conditional Uncertainty Quantification of Stochastic Dynamical Structures Considering Measurement Conditions
por: Wu, Feng, et al.
Publicado: (2024)
por: Wu, Feng, et al.
Publicado: (2024)
An Efficient Bayesian Framework for Inverse Problems via Optimization and Inversion: Surrogate Modeling, Parameter Inference, and Uncertainty Quantification
por: Chiappetta, Mihaela, et al.
Publicado: (2026)
por: Chiappetta, Mihaela, et al.
Publicado: (2026)
Designing On-Chain Options: Amortizing Perpetual Options
por: Bichuch, Maxim, et al.
Publicado: (2026)
por: Bichuch, Maxim, et al.
Publicado: (2026)
Reliability-Based Design Optimization Incorporating Extended Optimal Uncertainty Quantification
por: Miska, Niklas, et al.
Publicado: (2024)
por: Miska, Niklas, et al.
Publicado: (2024)
Uncertainty Quantification in Calibration and Simulation of Thermo-Chemical Curing of Epoxy Resins
por: Tröger, Jendrik-Alexander, et al.
Publicado: (2026)
por: Tröger, Jendrik-Alexander, et al.
Publicado: (2026)
Intrusive and Non-Intrusive Model Order Reduction for Airborne Contaminant Transport: Comparative Analysis and Uncertainty Quantification
por: Kühn, Lisa, et al.
Publicado: (2026)
por: Kühn, Lisa, et al.
Publicado: (2026)
Focal Mechanism Uncertainty Quantification In Ground Motion Simulations Of Le Teil Earthquake
por: Soto, Valeria, et al.
Publicado: (2025)
por: Soto, Valeria, et al.
Publicado: (2025)
Bayesian Parameter Inference and Uncertainty Quantification for a Computational Pulmonary Hemodynamics Model Using Gaussian Processes
por: Kachabi, Amirreza, et al.
Publicado: (2025)
por: Kachabi, Amirreza, et al.
Publicado: (2025)
A Physics-Aware Variational Graph Autoencoder for Joint Modal Identification with Uncertainty Quantification
por: Nath, Bhargav, et al.
Publicado: (2026)
por: Nath, Bhargav, et al.
Publicado: (2026)
Dynamic Asset Pricing: Integrating FinBERT-Based Sentiment Quantification with the Fama--French Five-Factor Model
por: Zhang, Chi
Publicado: (2025)
por: Zhang, Chi
Publicado: (2025)
Embedded Model Form Uncertainty Quantification with Measurement Noise for Bayesian Model Calibration
por: Arcones, Daniel Andrés, et al.
Publicado: (2024)
por: Arcones, Daniel Andrés, et al.
Publicado: (2024)
Multi-Level Monte Carlo sampling with Parallel-in-Time Integration for Uncertainty Quantification in Electric Machine Simulation
por: Hahn, Robert, et al.
Publicado: (2025)
por: Hahn, Robert, et al.
Publicado: (2025)
NetSpatial: Spatially Conditional Traffic Generation for Cellular Planning and Operations
por: Zhang, Shiyuan, et al.
Publicado: (2026)
por: Zhang, Shiyuan, et al.
Publicado: (2026)
AdaField: Generalizable Surface Pressure Modeling with Physics-Informed Pre-training and Flow-Conditioned Adaptation
por: Zou, Junhong, et al.
Publicado: (2026)
por: Zou, Junhong, et al.
Publicado: (2026)
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads
por: Vaiuso, Andrea, et al.
Publicado: (2024)
por: Vaiuso, Andrea, et al.
Publicado: (2024)
Structure-Guided Memory Consolidation for Mitigating Compounding Errors in Literature Review Generation
por: Zhang, Zhi, et al.
Publicado: (2025)
por: Zhang, Zhi, et al.
Publicado: (2025)
Beyond TVL: An Explainable Risk Scoring Framework for Tokenized Real-World Assets
por: Mafrur, Rischan, et al.
Publicado: (2026)
por: Mafrur, Rischan, et al.
Publicado: (2026)
Deep Generative Models in Condition and Structural Health Monitoring: Opportunities, Limitations and Future Outlook
por: Yang, Xin, et al.
Publicado: (2025)
por: Yang, Xin, et al.
Publicado: (2025)
Probabilistic Method for Optimizing Submarine Search and Rescue Strategy Under Environmental Uncertainty
por: Liu, Runhao, et al.
Publicado: (2025)
por: Liu, Runhao, et al.
Publicado: (2025)
Robust Crop Planning under Uncertainty: Aligning Economic Optimality with Agronomic Sustainability
por: Liu, Runhao, et al.
Publicado: (2025)
por: Liu, Runhao, et al.
Publicado: (2025)
Reliable Uncertainty Quantification for Fiber Orientation in Composite Molding Processes using Multilevel Polynomial Surrogates
por: Salatovic, Stjepan, et al.
Publicado: (2024)
por: Salatovic, Stjepan, et al.
Publicado: (2024)
Multi-granularity Score-based Generative Framework Enables Efficient Inverse Design of Complex Organics
por: Chen, Zijun, et al.
Publicado: (2024)
por: Chen, Zijun, et al.
Publicado: (2024)
Uncertainty-Driven Hierarchical Sampling for Unbalanced Continual Malware Detection with Time-Series Update-Based Retrieval
por: Xie, Yi, et al.
Publicado: (2025)
por: Xie, Yi, et al.
Publicado: (2025)
Integrating Optimal Transport and Structural Inference Models for GRN Inference from Single-cell Data
por: Tong, Tsz Pan, et al.
Publicado: (2024)
por: Tong, Tsz Pan, et al.
Publicado: (2024)
GUIDe: Generative and Uncertainty-Informed Inverse Design for On-Demand Nonlinear Functional Responses
por: Mu, Haoxuan Dylan, et al.
Publicado: (2025)
por: Mu, Haoxuan Dylan, et al.
Publicado: (2025)
Wavelet-Optimized Motion Artifact Correction in 3D MRI Using Pre-trained 2D Score Priors
por: Zhang, Genyuan, et al.
Publicado: (2025)
por: Zhang, Genyuan, et al.
Publicado: (2025)
From Scores to Skills: A Cognitive Diagnosis Framework for Evaluating Financial Large Language Models
por: Kuang, Ziyan, et al.
Publicado: (2025)
por: Kuang, Ziyan, et al.
Publicado: (2025)
CIDER: Counterfactual-Invariant Diffusion-based GNN Explainer for Causal Subgraph Inference
por: Zhang, Qibin, et al.
Publicado: (2024)
por: Zhang, Qibin, et al.
Publicado: (2024)
Self-Organizing Score-based Data Assimilation
por: Yamaoka, Yuma, et al.
Publicado: (2026)
por: Yamaoka, Yuma, et al.
Publicado: (2026)
Modeling Batch Crystallization under Uncertainty Using Physics-informed Machine Learning
por: Nai, Dingqi, et al.
Publicado: (2026)
por: Nai, Dingqi, et al.
Publicado: (2026)
Conditional Distribution Estimation of Building Characteristics with Diffusion Models for Urban Energy Modeling
por: Sinha, Saumya, et al.
Publicado: (2025)
por: Sinha, Saumya, et al.
Publicado: (2025)
Warp Quantification Analysis: A Framework For Path-based Signal Alignment Metrics
por: Wiafe, Sir-Lord, et al.
Publicado: (2025)
por: Wiafe, Sir-Lord, et al.
Publicado: (2025)
Uncertainty Analysis of Limit Cycle Oscillations in Nonlinear Dynamical Systems with the Fourier Generalized Polynomial Chaos Expansion
por: de Jong, Lars, et al.
Publicado: (2024)
por: de Jong, Lars, et al.
Publicado: (2024)
Multi-fidelity Parameter Estimation Using Conditional Diffusion Models
por: Tatsuoka, Caroline, et al.
Publicado: (2025)
por: Tatsuoka, Caroline, et al.
Publicado: (2025)
Exact Characterization of Aggregate Flexibility via Generalized Polymatroids
por: Mukhi, Karan, et al.
Publicado: (2025)
por: Mukhi, Karan, et al.
Publicado: (2025)
Stochastic Deep Learning Surrogate Models for Uncertainty Propagation in Microstructure-Properties of Ceramic Aerogels
por: Islam, Md Azharul, et al.
Publicado: (2025)
por: Islam, Md Azharul, et al.
Publicado: (2025)
A Methodology to Identify Physical or Computational Experiment Conditions for Uncertainty Mitigation
por: Yarbasi, Efe Y., et al.
Publicado: (2024)
por: Yarbasi, Efe Y., et al.
Publicado: (2024)
Flow of Knowledge: Federated Fine-Tuning of LLMs in Healthcare under Non-IID Conditions
por: Chen, Zeyu, et al.
Publicado: (2025)
por: Chen, Zeyu, et al.
Publicado: (2025)
CamGeo: Sparse Camera-Conditioned Image-to-Video Generation with 3D Geometry Priors
por: Liu, Xuanyi, et al.
Publicado: (2026)
por: Liu, Xuanyi, et al.
Publicado: (2026)
Self-Guided Diffusion Model for Accelerating Computational Fluid Dynamics
por: Li, Ruoyan, et al.
Publicado: (2025)
por: Li, Ruoyan, et al.
Publicado: (2025)
Ejemplares similares
-
Conditional Uncertainty Quantification of Stochastic Dynamical Structures Considering Measurement Conditions
por: Wu, Feng, et al.
Publicado: (2024) -
An Efficient Bayesian Framework for Inverse Problems via Optimization and Inversion: Surrogate Modeling, Parameter Inference, and Uncertainty Quantification
por: Chiappetta, Mihaela, et al.
Publicado: (2026) -
Designing On-Chain Options: Amortizing Perpetual Options
por: Bichuch, Maxim, et al.
Publicado: (2026) -
Reliability-Based Design Optimization Incorporating Extended Optimal Uncertainty Quantification
por: Miska, Niklas, et al.
Publicado: (2024) -
Uncertainty Quantification in Calibration and Simulation of Thermo-Chemical Curing of Epoxy Resins
por: Tröger, Jendrik-Alexander, et al.
Publicado: (2026)