Taghvaei, Amirhossein

9 publications

L4DC 2025 Flow Matching for Stochastic Linear Control Systems Yuhang Mei, Mohammad Al-Jarrah, Amirhossein Taghvaei, Yongxin Chen

L4DC 2025 Interacting Particle Systems for Fast Linear Quadratic RL Anant A. Joshi, Heng-Sheng Chang, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn

ICML 2024 Nonlinear Filtering with Brenier Optimal Transport Maps Mohammad Al-Jarrah, Niyizhen Jin, Bamdad Hosseini, Amirhossein Taghvaei

NeurIPS 2023 Data-Driven Optimal Filtering for Linear Systems with Unknown Noise Covariances Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi

ICML 2022 Variational Wasserstein Gradient Flow Jiaojiao Fan, Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen

ICML 2021 Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen

ICML 2020 Optimal Transport Mapping via Input Convex Neural Networks Ashok Makkuva, Amirhossein Taghvaei, Sewoong Oh, Jason Lee

ICML 2019 Accelerated Flow for Probability Distributions Amirhossein Taghvaei, Prashant Mehta

NeurIPS 2017 How Regularization Affects the Critical Points in Linear Networks Amirhossein Taghvaei, Jin W Kim, Prashant Mehta