Neuroscience Inspired Graph Operators Towards Edge-Deployable Virtual Sensing for Irregular Geometries
Fuente:
arXiv
Saved in:
| Main Authors: | Howes, William, Ahmed, Farid, Kobayashi, Kazuma, Chakraborty, Souvik, Alam, Syed Bahauddin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Real-Time Sensing of Inaccessible Physical Fields via an Edge-Deployable Hardware-Portable Graph Neural Operator
by: Howes, William, et al.
Published: (2026)
by: Howes, William, et al.
Published: (2026)
Distribution-Free Uncertainty-Aware Virtual Sensing via Conformalized Neural Operators
by: Kobayashi, Kazuma, et al.
Published: (2025)
by: Kobayashi, Kazuma, et al.
Published: (2025)
Virtual Sensing to Enable Real-Time Monitoring of Inaccessible Locations \& Unmeasurable Parameters
by: Kobayashi, Kazuma, et al.
Published: (2024)
by: Kobayashi, Kazuma, et al.
Published: (2024)
Sensing Without Colocation: Operator-Based Virtual Instrumentation for Domains Beyond Physical Reach
by: Yoo, Jay Phil, et al.
Published: (2025)
by: Yoo, Jay Phil, et al.
Published: (2025)
Deep Neural Operator Driven Real Time Inference for Nuclear Systems to Enable Digital Twin Solutions
by: Kobayashi, Kazuma, et al.
Published: (2023)
by: Kobayashi, Kazuma, et al.
Published: (2023)
Virtual Sensing-Enabled Digital Twin Framework for Real-Time Monitoring of Nuclear Systems Leveraging Deep Neural Operators
by: Hossain, Raisa Bentay, et al.
Published: (2024)
by: Hossain, Raisa Bentay, et al.
Published: (2024)
Adversarial Vulnerabilities in Neural Operator Digital Twins: Gradient-Free Attacks on Nuclear Thermal-Hydraulic Surrogates
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
Explainable, Interpretable & Trustworthy AI for Intelligent Digital Twin: Case Study on Remaining Useful Life
by: Kobayashi, Kazuma, et al.
Published: (2023)
by: Kobayashi, Kazuma, et al.
Published: (2023)
Beyond Uniform Sampling: Synergistic Active Learning and Input Denoising for Robust Neural Operators
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
Gradient-Free Continual Learning in Spiking Neural Networks via Inter-Spike Interval Regularization
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
SCNO: Spiking Compositional Neural Operator -- Towards a Neuromorphic Foundation Model for Nuclear PDE Solving
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
Improved generalization with deep neural operators for engineering systems: Path towards digital twin
by: Kobayashi, Kazuma, et al.
Published: (2023)
by: Kobayashi, Kazuma, et al.
Published: (2023)
When Spike Sparsity Does Not Translate to Deployed Cost: VS-WNO on Jetson Orin Nano
by: Yoo, Jason, et al.
Published: (2026)
by: Yoo, Jason, et al.
Published: (2026)
TrustFed: Enabling Trustworthy Medical AI under Data Privacy Constraints
by: Kumar, Vagish, et al.
Published: (2026)
by: Kumar, Vagish, et al.
Published: (2026)
Digital Twin-Centered Hybrid Data-Driven Multi-Stage Deep Learning Framework for Enhanced Nuclear Reactor Power Prediction
by: Daniell, James, et al.
Published: (2022)
by: Daniell, James, et al.
Published: (2022)
When Network Architecture Meets Physics: Deep Operator Learning for Coupled Multiphysics
by: Kobayashi, Kazuma, et al.
Published: (2025)
by: Kobayashi, Kazuma, et al.
Published: (2025)
Agentic Physical AI toward a Domain-Specific Foundation Model for Energy Systems: A Case Study on Nuclear Reactor Control
by: Lee, Yoon Pyo, et al.
Published: (2025)
by: Lee, Yoon Pyo, et al.
Published: (2025)
CoNBONet: Conformalized Neuroscience-inspired Bayesian Operator Network for Reliability Analysis
by: Garg, Shailesh, et al.
Published: (2026)
by: Garg, Shailesh, et al.
Published: (2026)
From Proxies to Fields: Spatiotemporal Reconstruction of Global Radiation from Sparse Sensor Sequences
by: Kobayashi, Kazuma, et al.
Published: (2025)
by: Kobayashi, Kazuma, et al.
Published: (2025)
Neuromorphic Continual Learning for Sequential Deployment of Nuclear Plant Monitoring Systems
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
Q-SINDy: Quantum-Kernel Sparse Identification of Nonlinear Dynamics with Provable Coefficient Debiasing
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
Hardware-Software Co-Design for Event-Driven SNN Deployment on Low-Cost Neuromorphic FPGAs
by: Lee, Jiwoon, et al.
Published: (2026)
by: Lee, Jiwoon, et al.
Published: (2026)
AI-driven non-intrusive uncertainty quantification of advanced nuclear fuels for digital twin-enabling technology
by: Kobayashi, Kazuma, et al.
Published: (2022)
by: Kobayashi, Kazuma, et al.
Published: (2022)
Bridging Sequential Deep Operator Network and Video Diffusion: Residual Refinement of Spatio-Temporal PDE Solutions
by: Park, Jaewan, et al.
Published: (2025)
by: Park, Jaewan, et al.
Published: (2025)
Geometry adaptive waveformer for cardio-vascular modeling
by: N, Navaneeth, et al.
Published: (2025)
by: N, Navaneeth, et al.
Published: (2025)
When Safety Geometry Collapses: Fine-Tuning Vulnerabilities in Agentic Guard Models
by: Hossain, Ismail, et al.
Published: (2026)
by: Hossain, Ismail, et al.
Published: (2026)
CortiNet: A Physics-Perception Hybrid Cortical-Inspired Dual-Stream Network for Gallbladder Disease Diagnosis from Ultrasound
by: Kumar, Vagish, et al.
Published: (2026)
by: Kumar, Vagish, et al.
Published: (2026)
From Local Interactions to Global Operators: Scalable Gaussian Process Operator for Physical Systems
by: Kumar, Sawan, et al.
Published: (2025)
by: Kumar, Sawan, et al.
Published: (2025)
Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations
by: Kumar, Sawan, et al.
Published: (2024)
by: Kumar, Sawan, et al.
Published: (2024)
The Art of the Jailbreak: Formulating Jailbreak Attacks for LLM Security Beyond Binary Scoring
by: Hossain, Ismail, et al.
Published: (2026)
by: Hossain, Ismail, et al.
Published: (2026)
Generative flow induced neural architecture search: Towards discovering optimal architecture in wavelet neural operator
by: Soin, Hartej, et al.
Published: (2024)
by: Soin, Hartej, et al.
Published: (2024)
NeuroPINNs: Neuroscience Inspired Physics Informed Neural Networks
by: Garg, Shailesh, et al.
Published: (2025)
by: Garg, Shailesh, et al.
Published: (2025)
Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics
by: Kumar, Sawan, et al.
Published: (2024)
by: Kumar, Sawan, et al.
Published: (2024)
Graph-Based Operator Learning from Limited Data on Irregular Domains
by: Li, Yile, et al.
Published: (2025)
by: Li, Yile, et al.
Published: (2025)
A Review of Neuroscience-Inspired Machine Learning
by: Ororbia, Alexander, et al.
Published: (2024)
by: Ororbia, Alexander, et al.
Published: (2024)
Scalable Random Wavelet Features: Efficient Non-Stationary Kernel Approximation with Convergence Guarantees
by: Kumar, Sawan, et al.
Published: (2026)
by: Kumar, Sawan, et al.
Published: (2026)
Competition is the key: A Game Theoretic Causal Discovery Approach
by: Roy, Amartya, et al.
Published: (2025)
by: Roy, Amartya, et al.
Published: (2025)
Distribution free uncertainty quantification in neuroscience-inspired deep operators
by: Garg, Shailesh, et al.
Published: (2024)
by: Garg, Shailesh, et al.
Published: (2024)
Spatio-spectral graph neural operator for solving computational mechanics problems on irregular domain and unstructured grid
by: Sarkar, Subhankar, et al.
Published: (2024)
by: Sarkar, Subhankar, et al.
Published: (2024)
MD-NOMAD: Mixture density nonlinear manifold decoder for emulating stochastic differential equations and uncertainty propagation
by: Thakur, Akshay, et al.
Published: (2024)
by: Thakur, Akshay, et al.
Published: (2024)
Similar Items
-
Real-Time Sensing of Inaccessible Physical Fields via an Edge-Deployable Hardware-Portable Graph Neural Operator
by: Howes, William, et al.
Published: (2026) -
Distribution-Free Uncertainty-Aware Virtual Sensing via Conformalized Neural Operators
by: Kobayashi, Kazuma, et al.
Published: (2025) -
Virtual Sensing to Enable Real-Time Monitoring of Inaccessible Locations \& Unmeasurable Parameters
by: Kobayashi, Kazuma, et al.
Published: (2024) -
Sensing Without Colocation: Operator-Based Virtual Instrumentation for Domains Beyond Physical Reach
by: Yoo, Jay Phil, et al.
Published: (2025) -
Deep Neural Operator Driven Real Time Inference for Nuclear Systems to Enable Digital Twin Solutions
by: Kobayashi, Kazuma, et al.
Published: (2023)