Software

Sparse decomposition methods for spatio-temporal anomaly detection
Sparse decomposition methods for spatio-temporal anomaly detection
Thompson sampling-based partially observable online change detection for exponential families
Thompson sampling for partially observable online change detection.
Project
Uncertainty-based active learning by bayesian U-Net for multi-label cone-beam CT segmentation
Uncertainty-based active learning by bayesian U-Net for multi-label cone-beam CT segmentation
DOE / Nuclear, Bayesian Optimization for Automatic Reactor Design Optimization
Bayesian optimization for reactor design
NSF, Multi-Agent Adaptive Data Collection for Automated Post-Disaster Rapid Damage Assessment
Multi-agent adaptive sensing after disasters
A Bayesian partially observable online change detection approach with Thompson sampling
A Bayesian partially observable online change detection approach with Thompson sampling
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Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection
Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection
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ANTLER: Bayesian nonlinear tensor learning and modeler for unstructured, varying-size point cloud data
Bayesian nonlinear tensor learning for unstructured point cloud data (ANTLER).
Project
Graph-aware Tensor Topic Models for Individualized Passenger Travel Pattern Clustering
Graph-aware tensor topic models for individualized passenger travel patterns.
Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints
Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints
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