3 papers
stat.ML2026
Amortized Filtering and Smoothing with Conditional Normalizing Flows
Tiangang Cui, Xiaodong Feng, Chenlong Pei +2
Bayesian filtering and smoothing are central to data assimilation in nonlinear dynamical systems. Recent advances in deep generative models provide flexible approximations of the a…
cs.CE2026
Multiscale Structural Reliability Analysis in high dimensions with Tensor Trains and Physics-Augmented Neural Networks
Aryan Tyagi, Alex de Beer, Tiangang Cui +1
Structural reliability evaluation for composites constitutes a fundamentally high-dimensional multiscale problem, as microscale material uncertainties must propagate to the macrosc…
math.OC2025
Subspace accelerated measure transport methods for fast and scalable sequential experimental design, with application to photoacoustic imaging
Tiangang Cui, Karina Koval, Roland Herzog +1
We propose a novel approach for sequential optimal experimental design (sOED) for Bayesian inverse problems involving expensive models with high-dimensional unknown parameters. Thi…