Cover Image

Deep Optimal Sensor Placement for Black Box Stochastic Simulations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cordero-Encinar, Paula, Schröder, Tobias, Yatsyshin, Peter, Duncan, Andrew
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Certified Self-Consistency: Statistical Guarantees and Test-Time Training for Reliable Reasoning in LLMs
by: Cordero-Encinar, Paula, et al.
Published: (2025)

Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems
by: Moss, Robert J., et al.
Published: (2023)

Soft Specialists: $α$-Rényi Ensembles for Uncertainty-Aware LLM Post-Training
by: Cordero-Encinar, Paula, et al.
Published: (2026)

Sensitivity Analysis in the Presence of Intrinsic Stochasticity for Discrete Fracture Network Simulations
by: Murph, Alexander C., et al.
Published: (2023)

Optimal Sampling Designs for Multi-dimensional Streaming Time Series with Application to Power Grid Sensor Data
by: Xie, Rui, et al.
Published: (2023)

Robust Generalization with Adaptive Optimal Transport Priors for Decision-Focused Learning
by: Sun, Haixiang, et al.
Published: (2026)

Non-asymptotic Analysis of Diffusion Annealed Langevin Monte Carlo for Generative Modelling
by: Cordero-Encinar, Paula, et al.
Published: (2025)

Meta-models for transfer learning in source localisation
by: Bull, Lawrence A., et al.
Published: (2023)

Digital Twin for Grey Box modeling of Multistory residential building thermal dynamics
by: Morkunaite, Lina, et al.
Published: (2024)

Towards Multilevel Modelling of Train Passing Events on the Staffordshire Bridge
by: Bull, Lawrence A., et al.
Published: (2024)

Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems
by: Simeone, Osvaldo, et al.
Published: (2025)

Deep Neural Network Driven Simulation Based Inference Method for Pole Position Estimation under Model Misspecification
by: Sadasivan, Daniel, et al.
Published: (2025)

Adaptive Meta-Learning Stochastic Gradient Hamiltonian Monte Carlo Simulation for Bayesian Updating of Structural Dynamic Models
by: Meng, Xianghao, et al.
Published: (2026)

FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures Emulation
by: Bouabid, Shahine, et al.
Published: (2023)

Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records
by: Li, Wenrui, et al.
Published: (2021)

Optimal Transport for Treatment Effect Estimation
by: Wang, Hao, et al.
Published: (2023)

Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems
by: Tauberschmidt, Jan, et al.
Published: (2025)

Sampling by averaging: A multiscale approach to score estimation
by: Cordero-Encinar, Paula, et al.
Published: (2025)

Optimal starting point for time series forecasting
by: Zhong, Yiming, et al.
Published: (2024)

VOPy: A Framework for Black-box Vector Optimization
by: Yıldırım, Yaşar Cahit, et al.
Published: (2024)

Stein-Encoder: A White-Box Supervised Encoder via Stein Identities in Multi-Modal Studies
by: Zhang, Jiarui, et al.
Published: (2026)

Structured Matching via Cost-Regularized Unbalanced Optimal Transport
by: Pardini, Emanuele, et al.
Published: (2025)

Learning Penalty for Optimal Partitioning via Automatic Feature Extraction
by: Nguyen, Tung L, et al.
Published: (2025)

Summarizing Bayesian Nonparametric Mixture Posterior -- Sliced Optimal Transport Metrics for Gaussian Mixtures
by: Nguyen, Khai, et al.
Published: (2024)

Deep Huber quantile regression networks
by: Tyralis, Hristos, et al.
Published: (2023)

Deep Learning for Forensic Identification of Source
by: Patten, Cole, et al.
Published: (2025)

When Should Humans Step In? Optimal Human Dispatching in AI-Assisted Decisions
by: Tan, Lezhi, et al.
Published: (2026)

Simulation-based Benchmarking for Causal Structure Learning in Gene Perturbation Experiments
by: Kovačević, Luka, et al.
Published: (2024)

Simulation-Based Optimisation of Batting Order and Bowling Plans in T20 Cricket
by: Ganesh, Tinniam V
Published: (2026)

Prediction of Coffee Ratings Based On Influential Attributes Using SelectKBest and Optimal Hyperparameters
by: Agyemang, Edmund, et al.
Published: (2025)

Adaptive Degradation Process with Deep Learning-Driven Trajectory
by: Yang, Li
Published: (2021)

Expected Diverse Utility (EDU): Diverse Bayesian Optimization of Expensive Computer Simulators
by: Miller, John Joshua, et al.
Published: (2024)

Discovering and Analyzing Stochastic Processes to Reduce Waste in Food Retail
by: Kalenkova, Anna, et al.
Published: (2025)

Sparse Bayesian Deep Functional Learning with Structured Region Selection
by: Zhu, Xiaoxian, et al.
Published: (2026)

Deep graphical regression for jointly moderate and extreme Australian wildfires
by: Cisneros, Daniela, et al.
Published: (2023)

Deep Learning Surrogates for Real-Time Gas Emission Inversion
by: Newman, Thomas, et al.
Published: (2025)

Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects
by: Wang, Hao, et al.
Published: (2026)

Which Imputation Fits Which Feature Selection Method? A Survey-Based Simulation Study
by: Schwerter, Jakob, et al.
Published: (2024)

On Model-Based Clustering With Entropic Optimal Transport
by: Mena, Gonzalo
Published: (2026)

Safe and Interpretable Estimation of Optimal Treatment Regimes
by: Parikh, Harsh, et al.
Published: (2023)