Bamdad Hosseini

According to our database, Bamdad Hosseini authored at least 27 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Score-Based Deterministic Density Sampling.

Vasily Ilin, Bamdad Hosseini, Jingwei Hu

CoRR, April, 2025

Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis.

Yasamin Jalalian, Juan Felipe Osorio Ramirez, Alexander Hsu, Bamdad Hosseini, Houman Owhadi

CoRR, March, 2025

Gaussian measures conditioned on nonlinear observations: consistency, MAP estimators, and simulation.

Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart

Stat. Comput., February, 2025

Diffeomorphic Measure Matching with Kernels for Generative Modeling.

Biraj Pandey, Bamdad Hosseini, Pau Batlle, Houman Owhadi

SIAM J. Math. Data Sci., 2025

Book Review: Mathematical Pictures at a Data Science Exhibition.

Bamdad Hosseini

SIAM Rev., 2025

Conditional Optimal Transport on Function Spaces.

Bamdad Hosseini, Alexander W. Hsu, Amirhossein Taghvaei

SIAM/ASA J. Uncertain. Quantification, 2025

Error analysis of kernel/GP methods for nonlinear and parametric PDEs.

Pau Batlle, Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart

J. Comput. Phys., 2025

Fast Filtering of Non-Gaussian Models Using Amortized Optimal Transport Maps.

Mohammad Al-Jarrah, Bamdad Hosseini, Amirhossein Taghvaei

IEEE Control. Syst. Lett., 2025

2024

Kernel methods are competitive for operator learning.

Pau Batlle, Matthieu Darcy, Bamdad Hosseini, Houman Owhadi

J. Comput. Phys., January, 2024

An approximation theory framework for measure-transport sampling algorithms.

Ricardo Baptista, Bamdad Hosseini, Nikola B. Kovachki, Youssef Marzouk, Amir Sagiv

Math. Comput., 2024

Conditional Sampling with Monotone GANs: From Generative Models to Likelihood-Free Inference.

Ricardo Baptista, Bamdad Hosseini, Nikola B. Kovachki, Youssef M. Marzouk

SIAM/ASA J. Uncertain. Quantification, 2024

Nonlinear Filtering with Brenier Optimal Transport Maps.

Mohammad Al-Jarrah, Niyizhen Jin, Bamdad Hosseini, Amirhossein Taghvaei

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Data-Driven Approximation of Stationary Nonlinear Filters with Optimal Transport Maps.

Mohammad Al-Jarrah, Bamdad Hosseini, Amirhossein Taghvaei

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Optimal Transport-based Nonlinear Filtering in High-dimensional Settings.

Mohammad Al-Jarrah, Niyizhen Jin, Bamdad Hosseini, Amirhossein Taghvaei

CoRR, 2023

Optimal Transport Particle Filters.

Mohammad Al-Jarrah, Bamdad Hosseini, Amirhossein Taghvaei

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

A Kernel Approach for PDE Discovery and Operator Learning.

Da Long, Nicole Mrvaljevic, Shandian Zhe, Bamdad Hosseini

CoRR, 2022

An Optimal Transport Formulation of Bayes' Law for Nonlinear Filtering Algorithms.

Amirhossein Taghvaei, Bamdad Hosseini

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Geometric structure of graph Laplacian embeddings.

Nicolás García Trillos, Franca Hoffmann, Bamdad Hosseini

J. Mach. Learn. Res., 2021

Solving and learning nonlinear PDEs with Gaussian processes.

Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart

J. Comput. Phys., 2021

2020

Consistency of Semi-Supervised Learning Algorithms on Graphs: Probit and One-Hot Methods.

Franca Hoffmann, Bamdad Hosseini, Zhi Ren, Andrew M. Stuart

J. Mach. Learn. Res., 2020

Posterior Consistency of Semi-Supervised Regression on Graphs.

Andrea L. Bertozzi, Bamdad Hosseini, Hao Li, Kevin Miller, Andrew M. Stuart

CoRR, 2020

Conditional Sampling With Monotone GANs.

Nikola B. Kovachki, Ricardo Baptista, Bamdad Hosseini, Youssef M. Marzouk

CoRR, 2020

Model Reduction and Neural Networks for Parametric PDEs.

Kaushik Bhattacharya, Bamdad Hosseini, Nikola B. Kovachki, Andrew M. Stuart

CoRR, 2020

2019

Two Metropolis-Hastings Algorithms for Posterior Measures with Non-Gaussian Priors in Infinite Dimensions.

Bamdad Hosseini

SIAM/ASA J. Uncertain. Quantification, 2019

2017

Well-Posed Bayesian Inverse Problems: Priors with Exponential Tails.

Bamdad Hosseini, Nilima Nigam

SIAM/ASA J. Uncertain. Quantification, 2017

Well-Posed Bayesian Inverse Problems with Infinitely Divisible and Heavy-Tailed Prior Measures.

Bamdad Hosseini

SIAM/ASA J. Uncertain. Quantification, 2017

2016

On regularizations of the Dirac delta distribution.

Bamdad Hosseini, Nilima Nigam, John M. Stockie

J. Comput. Phys., 2016