Saved in:
| Main Authors: | Yang, Haizhou, Figueroa, C. Alberto, Garikipati, Krishna |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2311.11397 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Multi-physics Model of Flow from Coronary Angiography: Insights to Microvascular Function
by: Yang, Haizhou, et al.
Published: (2024)
by: Yang, Haizhou, et al.
Published: (2024)
Assessing Coronary Microvascular Dysfunction using Angiography-based Data-driven Methods
by: Yang, Haizhou, et al.
Published: (2025)
by: Yang, Haizhou, et al.
Published: (2025)
Graph Laplacian-based Bayesian Multi-fidelity Modeling
by: Pinti, Orazio, et al.
Published: (2024)
by: Pinti, Orazio, et al.
Published: (2024)
Multi-fidelity Batch Active Learning for Gaussian Process Classifiers
by: Cutforth, Murray, et al.
Published: (2025)
by: Cutforth, Murray, et al.
Published: (2025)
Multi-fidelity Hamiltonian Monte Carlo
by: Patel, Dhruv V., et al.
Published: (2024)
by: Patel, Dhruv V., et al.
Published: (2024)
$μ$-FlowNet: A Deep Learning Approach for Mapping Flow Fields in Irregular Microchannels Using an Attention-based U-Net Encoder-Decoder Architecture
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
DiffLiB: High-fidelity differentiable modeling of lithium-ion batteries and efficient gradient-based parameter identification
by: Xu, Weipeng, et al.
Published: (2025)
by: Xu, Weipeng, et al.
Published: (2025)
Variational system identification of the partial differential equations governing microstructure evolution in materials: Inference over sparse and spatially unrelated data
by: Wang, Z., et al.
Published: (2020)
by: Wang, Z., et al.
Published: (2020)
Quantum Computing for Multi Period Asset Allocation
by: Sun, Queenie, et al.
Published: (2024)
by: Sun, Queenie, et al.
Published: (2024)
Efficient Aircraft Design Optimization Using Multi-Fidelity Models and Multi-fidelity Physics Informed Neural Networks
by: Sarker, Apurba
Published: (2024)
by: Sarker, Apurba
Published: (2024)
Interpretable Machine Learning Models for Predicting the Next Targets of Activist Funds
by: Kim, Minwu, et al.
Published: (2024)
by: Kim, Minwu, et al.
Published: (2024)
Exploring Multi-Fidelity Aeroelastic Tailoring: Prospect and Model Assessment
by: Maathuis, Hauke, et al.
Published: (2024)
by: Maathuis, Hauke, et al.
Published: (2024)
Efficient Bayesian multi-fidelity inverse analysis for expensive and non-differentiable physics-based simulations in high stochastic dimensions
by: Nitzler, Jonas, et al.
Published: (2025)
by: Nitzler, Jonas, et al.
Published: (2025)
BridgeNet: A Dataset of Graph-based Bridge Structural Models for Machine Learning Applications
by: Bleker, Lazlo, et al.
Published: (2025)
by: Bleker, Lazlo, et al.
Published: (2025)
BioXArena: Benchmarking LLM Agents on Multi-Modal Biomedical Machine Learning Tasks
by: Li, Loka, et al.
Published: (2026)
by: Li, Loka, et al.
Published: (2026)
Blockchain-Based Trust and Transparency in Airline Reservation Systems using Microservices Architecture
by: Barua, Biman, et al.
Published: (2024)
by: Barua, Biman, et al.
Published: (2024)
Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics
by: Garnier, Paul, et al.
Published: (2024)
by: Garnier, Paul, et al.
Published: (2024)
Intelligent Optimization of Mine Environmental Damage Assessment and Repair Strategies Based on Deep Learning
by: Cheng, Qishuo
Published: (2024)
by: Cheng, Qishuo
Published: (2024)
Bi-fidelity sparse-grid interpolation driven by a local-error estimator
by: Rosellini, Matteo, et al.
Published: (2025)
by: Rosellini, Matteo, et al.
Published: (2025)
Machine Learning (ML) based Reduced Order Modeling (ROM) for linear and non-linear solid and structural mechanics
by: Tannous, Mikhael, et al.
Published: (2025)
by: Tannous, Mikhael, et al.
Published: (2025)
Machine Learning-Assisted Discovery of Flow Reactor Designs
by: Savage, Tom, et al.
Published: (2023)
by: Savage, Tom, et al.
Published: (2023)
D-Flow: Multi-modality Flow Matching for D-peptide Design
by: Wu, Fang, et al.
Published: (2024)
by: Wu, Fang, et al.
Published: (2024)
A survey on multi-fidelity surrogates for simulators with functional outputs: unified framework and benchmark
by: Brunel, Lucas, et al.
Published: (2024)
by: Brunel, Lucas, et al.
Published: (2024)
Multi-fidelity Bayesian Optimization: A Review
by: Do, Bach, et al.
Published: (2023)
by: Do, Bach, et al.
Published: (2023)
Machine Learning Approaches for Defect Detection in a Microwell-based Medical Device
by: Zhao, Xueying, et al.
Published: (2024)
by: Zhao, Xueying, et al.
Published: (2024)
Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis
by: Cheng, Qishuo, et al.
Published: (2024)
by: Cheng, Qishuo, et al.
Published: (2024)
Temperature Prediction for Stored Grain: A Multi-model Fusion Approach Based on Machine Learning
by: Chen, Donghao, et al.
Published: (2024)
by: Chen, Donghao, et al.
Published: (2024)
Scientific Machine Learning-assisted Model Discovery from Telemetry Data
by: Micluta-Campeanu, Sebastian, et al.
Published: (2026)
by: Micluta-Campeanu, Sebastian, et al.
Published: (2026)
Finite Element and Machine Learning Modeling of Autogenous Self-Healing Concrete
by: Liu, William
Published: (2025)
by: Liu, William
Published: (2025)
Machine Learning Surrogates for Optimizing Transportation Policies with Agent-Based Models
by: Natterer, Elena, et al.
Published: (2025)
by: Natterer, Elena, et al.
Published: (2025)
Efficient Inverse Design Optimization through Multi-fidelity Simulations, Machine Learning, and Search Space Reduction Strategies
by: Grbcic, Luka, et al.
Published: (2023)
by: Grbcic, Luka, et al.
Published: (2023)
Design optimization of semiconductor manufacturing equipment using a novel multi-fidelity surrogate modeling approach
by: Wang, Bingran, et al.
Published: (2024)
by: Wang, Bingran, et al.
Published: (2024)
LATTE: Lightweight Attention-based Traffic Accident Anticipation Engine
by: Zhang, Jiaxun, et al.
Published: (2025)
by: Zhang, Jiaxun, et al.
Published: (2025)
A Cutting Mechanics-based Machine Learning Modeling Method to Discover Governing Equations of Machining Dynamics
by: Ren, Alisa, et al.
Published: (2025)
by: Ren, Alisa, et al.
Published: (2025)
Modeling Batch Crystallization under Uncertainty Using Physics-informed Machine Learning
by: Nai, Dingqi, et al.
Published: (2026)
by: Nai, Dingqi, et al.
Published: (2026)
Free-form Grid Structure Form Finding based on Machine Learning and Multi-objective Optimisation
by: Meng, Yiping, et al.
Published: (2024)
by: Meng, Yiping, et al.
Published: (2024)
NASPrecision: Neural Architecture Search-Driven Multi-Stage Learning for Surface Roughness Prediction in Ultra-Precision Machining
by: Ruan, Penghui, et al.
Published: (2024)
by: Ruan, Penghui, et al.
Published: (2024)
PMI-DT: Leveraging Digital Twins and Machine Learning for Predictive Modeling and Inspection in Manufacturing
by: Hamel, Chas, et al.
Published: (2024)
by: Hamel, Chas, et al.
Published: (2024)
Gradient-Informed Machine Learning in Electromagnetics
by: Zorzetto, Matteo, et al.
Published: (2026)
by: Zorzetto, Matteo, et al.
Published: (2026)
High-fidelity level-set modeling of diffusive solid-state phase transformations for polycrystalline materials
by: Chandrappa, Nitish, et al.
Published: (2024)
by: Chandrappa, Nitish, et al.
Published: (2024)
Similar Items
-
A Multi-physics Model of Flow from Coronary Angiography: Insights to Microvascular Function
by: Yang, Haizhou, et al.
Published: (2024) -
Assessing Coronary Microvascular Dysfunction using Angiography-based Data-driven Methods
by: Yang, Haizhou, et al.
Published: (2025) -
Graph Laplacian-based Bayesian Multi-fidelity Modeling
by: Pinti, Orazio, et al.
Published: (2024) -
Multi-fidelity Batch Active Learning for Gaussian Process Classifiers
by: Cutforth, Murray, et al.
Published: (2025) -
Multi-fidelity Hamiltonian Monte Carlo
by: Patel, Dhruv V., et al.
Published: (2024)