Bamdad Hosseini

41 papers A* 1Journal 37Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Error Analysis of Bayesian Inverse Problems with Generative Priors. CoRR Bamdad Hosseini, Ziqi Huang
2025	J	`jnl`	A joint optimization approach to identifying sparse dynamics using least squares kernel collocation. CoRR Alexander W. Hsu, Ike Griss Salas, Jacob Stevens-Haas, J. Nathan Kutz, Aleksandr Y. Aravkin, Bamdad Hosseini
2025	J	`jnl`	Book Review: Mathematical Pictures at a Data Science Exhibition. SIAM Rev. Bamdad Hosseini
2025	J	`jnl`	Conditional Optimal Transport on Function Spaces. SIAM/ASA J. Uncertain. Quantification Bamdad Hosseini, Alexander W. Hsu, Amirhossein Taghvaei
2025	J	`jnl`	Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis. CoRR Yasamin Jalalian, Juan Felipe Osorio Ramirez, Alexander Hsu, Bamdad Hosseini, Houman Owhadi
2025	J	`jnl`	Diffeomorphic Measure Matching with Kernels for Generative Modeling. SIAM J. Math. Data Sci. Biraj Pandey, Bamdad Hosseini, Pau Batlle, Houman Owhadi
2025	J	`jnl`	Error analysis of kernel/GP methods for nonlinear and parametric PDEs. J. Comput. Phys. Pau Batlle, Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart
2025	J	`jnl`	Fast Filtering of Non-Gaussian Models Using Amortized Optimal Transport Maps. IEEE Control. Syst. Lett. Mohammad Al-Jarrah, Bamdad Hosseini, Amirhossein Taghvaei
2025	J	`jnl`	Fast filtering of non-Gaussian models using Amortized Optimal Transport Maps. CoRR Mohammad Al-Jarrah, Bamdad Hosseini, Amirhossein Taghvaei
2025	J	`jnl`	Gaussian measures conditioned on nonlinear observations: consistency, MAP estimators, and simulation. Stat. Comput. Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart
2025	J	`jnl`	Learning Paths for Dynamic Measure Transport: A Control Perspective. CoRR Aimee Maurais, Bamdad Hosseini, Youssef Marzouk
2025	J	`jnl`	Operator Learning at Machine Precision. CoRR Aras Bacho, Aleksei G. Sorokin, Xianjin Yang, Théo Bourdais, Edoardo Calvello, Matthieu Darcy, Alexander Hsu, Bamdad Hosseini, Houman Owhadi
2025	J	`jnl`	Physics-Informed Neural Networks for Source Inversion and Parameters Estimation in Atmospheric Dispersion. CoRR Brenda Anague, Bamdad Hosseini, Issa Karambal, Jean-Medard T. Ngnotchouye
2025	J	`jnl`	Score-Based Deterministic Density Sampling. CoRR Vasily Ilin, Bamdad Hosseini, Jingwei Hu
2024	J	`jnl`	An approximation theory framework for measure-transport sampling algorithms. Math. Comput. Ricardo Baptista, Bamdad Hosseini, Nikola B. Kovachki, Youssef Marzouk, Amir Sagiv
2024	J	`jnl`	Conditional Sampling with Monotone GANs: From Generative Models to Likelihood-Free Inference. SIAM/ASA J. Uncertain. Quantification Ricardo Baptista, Bamdad Hosseini, Nikola B. Kovachki, Youssef M. Marzouk
2024	—	`conf`	Data-Driven Approximation of Stationary Nonlinear Filters with Optimal Transport Maps. CDC Mohammad Al-Jarrah, Bamdad Hosseini, Amirhossein Taghvaei
2024	J	`jnl`	Diffeomorphic Measure Matching with Kernels for Generative Modeling. CoRR Biraj Pandey, Bamdad Hosseini, Pau Batlle, Houman Owhadi
2024	J	`jnl`	Gaussian Measures Conditioned on Nonlinear Observations: Consistency, MAP Estimators, and Simulation. CoRR Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart
2024	J	`jnl`	Kernel methods are competitive for operator learning. J. Comput. Phys. Pau Batlle, Matthieu Darcy, Bamdad Hosseini, Houman Owhadi
2024	A*	`conf`	Nonlinear Filtering with Brenier Optimal Transport Maps. ICML Mohammad Al-Jarrah, Niyizhen Jin, Bamdad Hosseini, Amirhossein Taghvaei
2023	J	`jnl`	An Approximation Theory Framework for Measure-Transport Sampling Algorithms. CoRR Ricardo Baptista, Bamdad Hosseini, Nikola B. Kovachki, Youssef M. Marzouk, Amir Sagiv
2023	J	`jnl`	Error Analysis of Kernel/GP Methods for Nonlinear and Parametric PDEs. CoRR Pau Batlle, Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart
2023	J	`jnl`	Kernel Methods are Competitive for Operator Learning. CoRR Pau Batlle, Matthieu Darcy, Bamdad Hosseini, Houman Owhadi
2023	—	`conf`	Optimal Transport Particle Filters. CDC Mohammad Al-Jarrah, Bamdad Hosseini, Amirhossein Taghvaei
2023	J	`jnl`	Optimal Transport-based Nonlinear Filtering in High-dimensional Settings. CoRR Mohammad Al-Jarrah, Niyizhen Jin, Bamdad Hosseini, Amirhossein Taghvaei
2022	J	`jnl`	A Kernel Approach for PDE Discovery and Operator Learning. CoRR Da Long, Nicole Mrvaljevic, Shandian Zhe, Bamdad Hosseini
2022	—	`conf`	An Optimal Transport Formulation of Bayes' Law for Nonlinear Filtering Algorithms. CDC Amirhossein Taghvaei, Bamdad Hosseini
2022	J	`jnl`	An Optimal Transport Formulation of Bayes' Law for Nonlinear Filtering Algorithms. CoRR Amirhossein Taghvaei, Bamdad Hosseini
2021	J	`jnl`	Geometric structure of graph Laplacian embeddings. J. Mach. Learn. Res. Nicolás García Trillos, Franca Hoffmann, Bamdad Hosseini
2021	J	`jnl`	Solving and Learning Nonlinear PDEs with Gaussian Processes. CoRR Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart
2021	J	`jnl`	Solving and learning nonlinear PDEs with Gaussian processes. J. Comput. Phys. Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart
2020	J	`jnl`	Conditional Sampling With Monotone GANs. CoRR Nikola B. Kovachki, Ricardo Baptista, Bamdad Hosseini, Youssef M. Marzouk
2020	J	`jnl`	Consistency of Semi-Supervised Learning Algorithms on Graphs: Probit and One-Hot Methods. J. Mach. Learn. Res. Franca Hoffmann, Bamdad Hosseini, Zhi Ren, Andrew M. Stuart
2020	J	`jnl`	Model Reduction and Neural Networks for Parametric PDEs. CoRR Kaushik Bhattacharya, Bamdad Hosseini, Nikola B. Kovachki, Andrew M. Stuart
2020	J	`jnl`	Posterior Consistency of Semi-Supervised Regression on Graphs. CoRR Andrea L. Bertozzi, Bamdad Hosseini, Hao Li, Kevin Miller, Andrew M. Stuart
2019	J	`jnl`	Consistency of semi-supervised learning algorithms on graphs: Probit and one-hot methods. CoRR Franca Hoffmann, Bamdad Hosseini, Zhi Ren, Andrew M. Stuart
2019	J	`jnl`	Two Metropolis-Hastings Algorithms for Posterior Measures with Non-Gaussian Priors in Infinite Dimensions. SIAM/ASA J. Uncertain. Quantification Bamdad Hosseini
2017	J	`jnl`	Well-Posed Bayesian Inverse Problems with Infinitely Divisible and Heavy-Tailed Prior Measures. SIAM/ASA J. Uncertain. Quantification Bamdad Hosseini
2017	J	`jnl`	Well-Posed Bayesian Inverse Problems: Priors with Exponential Tails. SIAM/ASA J. Uncertain. Quantification Bamdad Hosseini, Nilima Nigam
2016	J	`jnl`	On regularizations of the Dirac delta distribution. J. Comput. Phys. Bamdad Hosseini, Nilima Nigam, John M. Stockie