Image de couverture de livre

Sensing Without Colocation: Operator-Based Virtual Instrumentation for Domains Beyond Physical Reach

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yoo, Jay Phil, Kobayashi, Kazuma, Chakraborty, Souvik, Alam, Syed Bahauddin
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Distribution-Free Uncertainty-Aware Virtual Sensing via Conformalized Neural Operators
par: Kobayashi, Kazuma, et autres
Publié: (2025)

Virtual Sensing to Enable Real-Time Monitoring of Inaccessible Locations \& Unmeasurable Parameters
par: Kobayashi, Kazuma, et autres
Publié: (2024)

Beyond Uniform Sampling: Synergistic Active Learning and Input Denoising for Robust Neural Operators
par: Roy, Samrendra, et autres
Publié: (2026)

Neuroscience Inspired Graph Operators Towards Edge-Deployable Virtual Sensing for Irregular Geometries
par: Howes, William, et autres
Publié: (2026)

Gradient-Free Continual Learning in Spiking Neural Networks via Inter-Spike Interval Regularization
par: Roy, Samrendra, et autres
Publié: (2026)

Virtual Sensing-Enabled Digital Twin Framework for Real-Time Monitoring of Nuclear Systems Leveraging Deep Neural Operators
par: Hossain, Raisa Bentay, et autres
Publié: (2024)

SCNO: Spiking Compositional Neural Operator -- Towards a Neuromorphic Foundation Model for Nuclear PDE Solving
par: Roy, Samrendra, et autres
Publié: (2026)

Agentic Physical AI toward a Domain-Specific Foundation Model for Energy Systems: A Case Study on Nuclear Reactor Control
par: Lee, Yoon Pyo, et autres
Publié: (2025)

Real-Time Sensing of Inaccessible Physical Fields via an Edge-Deployable Hardware-Portable Graph Neural Operator
par: Howes, William, et autres
Publié: (2026)

Deep Neural Operator Driven Real Time Inference for Nuclear Systems to Enable Digital Twin Solutions
par: Kobayashi, Kazuma, et autres
Publié: (2023)

Adversarial Vulnerabilities in Neural Operator Digital Twins: Gradient-Free Attacks on Nuclear Thermal-Hydraulic Surrogates
par: Roy, Samrendra, et autres
Publié: (2026)

From Proxies to Fields: Spatiotemporal Reconstruction of Global Radiation from Sparse Sensor Sequences
par: Kobayashi, Kazuma, et autres
Publié: (2025)

Explainable, Interpretable & Trustworthy AI for Intelligent Digital Twin: Case Study on Remaining Useful Life
par: Kobayashi, Kazuma, et autres
Publié: (2023)

Improved generalization with deep neural operators for engineering systems: Path towards digital twin
par: Kobayashi, Kazuma, et autres
Publié: (2023)

When Spike Sparsity Does Not Translate to Deployed Cost: VS-WNO on Jetson Orin Nano
par: Yoo, Jason, et autres
Publié: (2026)

TrustFed: Enabling Trustworthy Medical AI under Data Privacy Constraints
par: Kumar, Vagish, et autres
Publié: (2026)

The Art of the Jailbreak: Formulating Jailbreak Attacks for LLM Security Beyond Binary Scoring
par: Hossain, Ismail, et autres
Publié: (2026)

Neuromorphic Continual Learning for Sequential Deployment of Nuclear Plant Monitoring Systems
par: Roy, Samrendra, et autres
Publié: (2026)

When Network Architecture Meets Physics: Deep Operator Learning for Coupled Multiphysics
par: Kobayashi, Kazuma, et autres
Publié: (2025)

Digital Twin-Centered Hybrid Data-Driven Multi-Stage Deep Learning Framework for Enhanced Nuclear Reactor Power Prediction
par: Daniell, James, et autres
Publié: (2022)

Semantic Intent Fragmentation: A Single-Shot Compositional Attack on Multi-Agent AI Pipelines
par: Ahad, Tanzim, et autres
Publié: (2026)

When Safety Geometry Collapses: Fine-Tuning Vulnerabilities in Agentic Guard Models
par: Hossain, Ismail, et autres
Publié: (2026)

Contrastive Domain Generalization for Cross-Instrument Molecular Identification in Mass Spectrometry
par: Yoo, Seunghyun, et autres
Publié: (2026)

SCALE: Self-regulated Clustered federAted LEarning in a Homogeneous Environment
par: Puppala, Sai, et autres
Publié: (2024)

PhyPlan: Generalizable and Rapid Physical Task Planning with Physics Informed Skill Networks for Robot Manipulators
par: Chopra, Mudit, et autres
Publié: (2024)

Q-SINDy: Quantum-Kernel Sparse Identification of Nonlinear Dynamics with Provable Coefficient Debiasing
par: Roy, Samrendra, et autres
Publié: (2026)

Reaching Beyond the Mode: RL for Distributional Reasoning in Language Models
par: Puri, Isha, et autres
Publié: (2026)

The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
par: Sims, Anya, et autres
Publié: (2024)

Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption
par: Kim, Sunwoo, et autres
Publié: (2025)

Adversarially Trained Object Detector for Unsupervised Domain Adaptation
par: Fujii, Kazuma, et autres
Publié: (2021)

Beyond In-Domain Detection: SpikeScore for Cross-Domain Hallucination Detection
par: Deng, Yongxin, et autres
Publié: (2026)

Learning to Reach Goals via Diffusion
par: Jain, Vineet, et autres
Publié: (2023)

Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations
par: De Felice, Giovanni, et autres
Publié: (2024)

DGSense: A Domain Generalization Framework for Wireless Sensing
par: Zhou, Rui, et autres
Publié: (2025)

Transformer-Based Predictive Maintenance for Risk-Aware Instrument Calibration
par: Parthasarathy, Adithya, et autres
Publié: (2026)

Beyond Pooling: Matching for Robust Generalization under Data Heterogeneity
par: Roy, Ayush, et autres
Publié: (2026)

In-Context Policy Adaptation via Cross-Domain Skill Diffusion
par: Yoo, Minjong, et autres
Publié: (2025)

Operator Learning with Domain Decomposition for Geometry Generalization in PDE Solving
par: Huang, Jianing, et autres
Publié: (2025)

Beyond Similarity: Temporal Operator Attention for Time Series Analysis
par: Twitty, Jevon, et autres
Publié: (2026)

DiffNMR3: Advancing NMR Resolution Beyond Instrumental Limits
par: Yan, Sen, et autres
Publié: (2025)