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From the 1 of 11 linked papers with an AI index.

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11 papers

math.ST2026

Error Analysis of Triangular Optimal Transport Maps for Filtering

Mohammad Al-Jarrah, Bamdad Hosseini, Niyizhen Jin +2

The paper analyzes estimation errors of optimal‑transport‑based filtering algorithms, extending Brenier map error results to conditional Brenier maps and demonstrating the approach…

math.OC2026

Time-Reversed BSDEs for Accurate Gradient Estimation in Diffusion Models

Yuhang Mei, Amirhossein Taghvaei

There is a growing literature adopting a stochastic optimal control (SOC) perspective to fine-tune diffusion models and related generative policies. A prominent class of methods, k…

cs.LG2026

Conditional Sampling via Wasserstein Autoencoders and Triangular Transport

Mohammad Al-Jarrah, Michele Martino, Marcus Yim +2

We present Conditional Wasserstein Autoencoders (CWAEs), a framework for conditional simulation that exploits low-dimensional structure in both the conditioned and the conditioning…

eess.SY2026

Causal Optimal Coupling for Gaussian Input-Output Distributional Data

Daran Xu, Amirhossein Taghvaei

We study the problem of identifying an optimal coupling between input-output distributional data generated by a causal dynamical system. The coupling is required to satisfy prescri…

math.OC2025

A lasso-alternative to Dijkstra's algorithm for identifying short paths in networks

Anqi Dong, Amirhossein Taghvaei, Tryphon T. Georgiou

We revisit the problem of finding the shortest path between two selected vertices of a graph and formulate this as an -regularized regression -- Least Absolute Shrinkage an…

math.OC2025

A convex approach for Markov chain estimation from aggregate data via inverse optimal transport

Michele Mascherpa, Axel Ringh, Amirhossein Taghvaei +1

We address the problem of identifying the dynamical law governing the evolution of a population of indistinguishable particles, when only aggregate distributions at successive time…