16 papers
Constrained Extreme Gradient Boosting for Adapting Reduced-Order Models
Melika Baghi, Xiao Liu, Kamran Paynabar
High-fidelity simulations, such as computational fluid dynamics and finite element analysis, are essential for modeling complex engineering systems but are often prohibitively expe…
Flow Mismatching: Unsupervised Anomaly Detection via Velocity Discrepancies in Flow Matching Models
Shengzhe Chen, Mehrdad Moradi, Kamran Paynabar +1
We propose Flow Mismatching, an unsupervised anomaly detection method that deliberately avoids reconstruction-based paradigms. Instead, we treat flow matching as geometric dynamics…
Simultaneous Monitoring of Shape and Surface Color via 4D Point Clouds: A Registration-free Approach
Mariafrancesca Patalano, Giovanna Capizzi, Kamran Paynabar
Advanced manufacturing technologies allow for the production of intricate parts featuring high shape complexity and spatially-varying material composition. Data fusion of point clo…
Multivariate Time Series Data Imputation via Distributionally Robust Regularization
Che-Yi Liao, Zheng Dong, Gian-Gabriel Garcia +1
Multivariate time series imputation is often compromised by mismatch between the observed and true data distributions, a bias induced by the combined effects of time-series non-sta…
Bayesian Optimization for Function-Valued Responses under Min-Max Criteria
Pouya Ahadi, Reza Marzban, Ali Adibi +1
Bayesian optimization is widely used for optimizing expensive black box functions, but most existing approaches focus on scalar responses. In many scientific and engineering settin…
Registration-Free Monitoring of Unstructured Point Cloud Data via Intrinsic Geometrical Properties
Mariafrancesca Patalano, Giovanna Capizzi, Kamran Paynabar
Modern sensing technologies have enabled the collection of unstructured point cloud data (PCD) of varying sizes, which are used to monitor the geometric accuracy of 3D objects. PCD…