Variational Digital Twins
Fuente:
arXiv
Saved in:
| Main Authors: | Burnett, Logan A., Nabila, Umme Mahbuba, Radaideh, Majdi I. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Physics-based Digital Twins for Integrated Thermal Energy Systems Using Active Learning
by: Nabila, Umme Mahbuba, et al.
Published: (2026)
by: Nabila, Umme Mahbuba, et al.
Published: (2026)
Nuclear Microreactor Control with Deep Reinforcement Learning
by: Tunkle, Leo, et al.
Published: (2025)
by: Tunkle, Leo, et al.
Published: (2025)
Multistep Criticality Search and Power Shaping in Microreactors with Reinforcement Learning
by: Radaideh, Majdi I., et al.
Published: (2024)
by: Radaideh, Majdi I., et al.
Published: (2024)
Multifidelity Surrogate Modeling of Depressurized Loss of Forced Cooling in High-temperature Gas Reactors
by: Eaheart, Meredith, et al.
Published: (2026)
by: Eaheart, Meredith, et al.
Published: (2026)
Constructing and Evaluating Digital Twins: An Intelligent Framework for DT Development
by: Ma, Longfei, et al.
Published: (2024)
by: Ma, Longfei, et al.
Published: (2024)
Generative Flow Networks for Model Adaptation in Digital Twins of Natural Systems
by: Archambault, Pascal, et al.
Published: (2026)
by: Archambault, Pascal, et al.
Published: (2026)
Control of Medical Digital Twins with Artificial Neural Networks
by: Böttcher, Lucas, et al.
Published: (2024)
by: Böttcher, Lucas, et al.
Published: (2024)
Sparse Attention-driven Quality Prediction for Production Process Optimization in Digital Twins
by: Yin, Yanlei, et al.
Published: (2024)
by: Yin, Yanlei, et al.
Published: (2024)
Real-Time AI-Driven Milling Digital Twin Towards Extreme Low-Latency
by: Liu, Wenyi, et al.
Published: (2025)
by: Liu, Wenyi, et al.
Published: (2025)
Equation-Free Digital Twins for Nonlinear Structural Dynamics
by: Abaei, Mohammad Mahdi, et al.
Published: (2026)
by: Abaei, Mohammad Mahdi, et al.
Published: (2026)
Physics-Embedded Neural ODEs for Sim2Real Edge Digital Twins of Hybrid Power Electronics Systems
by: Zheng, Jialin, et al.
Published: (2025)
by: Zheng, Jialin, et al.
Published: (2025)
An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems
by: Yang, Hanqing, et al.
Published: (2024)
by: Yang, Hanqing, et al.
Published: (2024)
Large Vision Model-Enhanced Digital Twin with Deep Reinforcement Learning for User Association and Load Balancing in Dynamic Wireless Networks
by: Tao, Zhenyu, et al.
Published: (2024)
by: Tao, Zhenyu, et al.
Published: (2024)
A Digital Twin for Diesel Engines: Operator-infused Physics-Informed Neural Networks with Transfer Learning for Engine Health Monitoring
by: Nath, Kamaljyoti, et al.
Published: (2024)
by: Nath, Kamaljyoti, et al.
Published: (2024)
Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation
by: Internò, Christian, et al.
Published: (2025)
by: Internò, Christian, et al.
Published: (2025)
DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework
by: Lin, Yu-Zheng, et al.
Published: (2024)
by: Lin, Yu-Zheng, et al.
Published: (2024)
Digital Twin-based Out-of-Distribution Detection in Autonomous Vessels
by: Isaku, Erblin, et al.
Published: (2025)
by: Isaku, Erblin, et al.
Published: (2025)
Optimizing Wireless Resource Management and Synchronization in Digital Twin Networks
by: Yu, Hanzhi, et al.
Published: (2025)
by: Yu, Hanzhi, et al.
Published: (2025)
Automatic dimensionality reduction of Twin-in-the-Loop Observers
by: Delcaro, Giacomo, et al.
Published: (2024)
by: Delcaro, Giacomo, et al.
Published: (2024)
Digital Twin Assisted Deep Reinforcement Learning for Online Admission Control in Sliced Network
by: Tao, Zhenyu, et al.
Published: (2023)
by: Tao, Zhenyu, et al.
Published: (2023)
Review on Fault Diagnosis and Fault-Tolerant Control Scheme for Robotic Manipulators: Recent Advances in AI, Machine Learning, and Digital Twin
by: Quamar, Md Muzakkir, et al.
Published: (2024)
by: Quamar, Md Muzakkir, et al.
Published: (2024)
Learn for Variation: Variationally Guided AAV Trajectory Learning in Differentiable Environments
by: Wang, Xiucheng, et al.
Published: (2026)
by: Wang, Xiucheng, et al.
Published: (2026)
VoI-Driven Joint Optimization of Control and Communication in Vehicular Digital Twin Network
by: Lei, Lei, et al.
Published: (2025)
by: Lei, Lei, et al.
Published: (2025)
Optimizing Reinforcement Learning Training over Digital Twin Enabled Multi-fidelity Networks
by: Yu, Hanzhi, et al.
Published: (2026)
by: Yu, Hanzhi, et al.
Published: (2026)
SCoTT: Strategic Chain-of-Thought Tasking for Wireless-Aware Robot Navigation in Digital Twins
by: Djuhera, Aladin, et al.
Published: (2024)
by: Djuhera, Aladin, et al.
Published: (2024)
Sustainability of Data Center Digital Twins with Reinforcement Learning
by: Sarkar, Soumyendu, et al.
Published: (2024)
by: Sarkar, Soumyendu, et al.
Published: (2024)
Stability Enhanced Gaussian Process Variational Autoencoders
by: Richardson, Carl R., et al.
Published: (2026)
by: Richardson, Carl R., et al.
Published: (2026)
Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networks
by: Chen, Yi-Ping, et al.
Published: (2025)
by: Chen, Yi-Ping, et al.
Published: (2025)
On the Impact of Language Nuances on Sentiment Analysis with Large Language Models: Paraphrasing, Sarcasm, and Emojis
by: Bhargava, Naman, et al.
Published: (2025)
by: Bhargava, Naman, et al.
Published: (2025)
Toward Enhanced Reinforcement Learning-Based Resource Management via Digital Twin: Opportunities, Applications, and Challenges
by: Cheng, Nan, et al.
Published: (2024)
by: Cheng, Nan, et al.
Published: (2024)
Digital Twin Synchronization: Bridging the Sim-RL Agent to a Real-Time Robotic Additive Manufacturing Control
by: Ali, Matsive, et al.
Published: (2025)
by: Ali, Matsive, et al.
Published: (2025)
Weighted Flow Matching and Physics-Informed Nonlinear Filtering for Parameter Estimation in Digital Twins
by: Yanik, Yasar, et al.
Published: (2026)
by: Yanik, Yasar, et al.
Published: (2026)
Deep Koopman-based Control of Quality Variation in Multistage Manufacturing Systems
by: Chen, Zhiyi, et al.
Published: (2024)
by: Chen, Zhiyi, et al.
Published: (2024)
Deep Generative and Discriminative Digital Twin endowed with Variational Autoencoder for Unsupervised Predictive Thermal Condition Monitoring of Physical Robots in Industry 6.0 and Society 6.0
by: Kaigom, Eric Guiffo
Published: (2025)
by: Kaigom, Eric Guiffo
Published: (2025)
BEAVER: Building Environments with Assessable Variation for Evaluating Multi-Objective Reinforcement Learning
by: Liu, Ruohong, et al.
Published: (2025)
by: Liu, Ruohong, et al.
Published: (2025)
Data Enrichment Opportunities for Distribution Grid Cable Networks using Variational Autoencoders
by: Sundsgaard, Konrad, et al.
Published: (2025)
by: Sundsgaard, Konrad, et al.
Published: (2025)
Towards Trustworthy 6G Network Digital Twins: A Framework for Validating Counterfactual What-If Analysis in Edge Computing Resources
by: Agudelo, Julian Jimenez, et al.
Published: (2026)
by: Agudelo, Julian Jimenez, et al.
Published: (2026)
High-fidelity Modeling of Full-scale Pressurized Water Reactor Flow Fields for Machine Learning Applications
by: Burnett, Logan A., et al.
Published: (2026)
by: Burnett, Logan A., et al.
Published: (2026)
Data-Based In-Cylinder Pressure Model with Cyclic Variations for Combustion Control: A RCCI Engine Application
by: Vlaswinkel, Maarten, et al.
Published: (2024)
by: Vlaswinkel, Maarten, et al.
Published: (2024)
Optimizing Digital Therapeutic Interventions: Online Learning under Endogenous Adherence
by: Pulick, Eric, et al.
Published: (2026)
by: Pulick, Eric, et al.
Published: (2026)
Similar Items
-
Physics-based Digital Twins for Integrated Thermal Energy Systems Using Active Learning
by: Nabila, Umme Mahbuba, et al.
Published: (2026) -
Nuclear Microreactor Control with Deep Reinforcement Learning
by: Tunkle, Leo, et al.
Published: (2025) -
Multistep Criticality Search and Power Shaping in Microreactors with Reinforcement Learning
by: Radaideh, Majdi I., et al.
Published: (2024) -
Multifidelity Surrogate Modeling of Depressurized Loss of Forced Cooling in High-temperature Gas Reactors
by: Eaheart, Meredith, et al.
Published: (2026) -
Constructing and Evaluating Digital Twins: An Intelligent Framework for DT Development
by: Ma, Longfei, et al.
Published: (2024)