Picture for Bamdad Hosseini

Bamdad Hosseini

Gaussian Measures Conditioned on Nonlinear Observations: Consistency, MAP Estimators, and Simulation

Add code
May 21, 2024
Viaarxiv icon

Diffeomorphic Measure Matching with Kernels for Generative Modeling

Add code
Feb 12, 2024
Figure 1 for Diffeomorphic Measure Matching with Kernels for Generative Modeling
Figure 2 for Diffeomorphic Measure Matching with Kernels for Generative Modeling
Figure 3 for Diffeomorphic Measure Matching with Kernels for Generative Modeling
Figure 4 for Diffeomorphic Measure Matching with Kernels for Generative Modeling
Viaarxiv icon

Conditional Optimal Transport on Function Spaces

Add code
Nov 17, 2023
Viaarxiv icon

Optimal Transport-based Nonlinear Filtering in High-dimensional Settings

Add code
Oct 21, 2023
Viaarxiv icon

Error Analysis of Kernel/GP Methods for Nonlinear and Parametric PDEs

Add code
May 08, 2023
Viaarxiv icon

Kernel Methods are Competitive for Operator Learning

Add code
Apr 26, 2023
Viaarxiv icon

Bayesian Posterior Perturbation Analysis with Integral Probability Metrics

Add code
Mar 02, 2023
Viaarxiv icon

A Kernel Approach for PDE Discovery and Operator Learning

Add code
Oct 14, 2022
Figure 1 for A Kernel Approach for PDE Discovery and Operator Learning
Figure 2 for A Kernel Approach for PDE Discovery and Operator Learning
Figure 3 for A Kernel Approach for PDE Discovery and Operator Learning
Figure 4 for A Kernel Approach for PDE Discovery and Operator Learning
Viaarxiv icon

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

Add code
Mar 22, 2022
Figure 1 for An Optimal Transport Formulation of Bayes' Law for Nonlinear Filtering Algorithms
Viaarxiv icon

Solving and Learning Nonlinear PDEs with Gaussian Processes

Add code
Mar 24, 2021
Figure 1 for Solving and Learning Nonlinear PDEs with Gaussian Processes
Figure 2 for Solving and Learning Nonlinear PDEs with Gaussian Processes
Figure 3 for Solving and Learning Nonlinear PDEs with Gaussian Processes
Figure 4 for Solving and Learning Nonlinear PDEs with Gaussian Processes
Viaarxiv icon