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

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

11 June 2020

Ricardo Baptista

Bamdad Hosseini

Nikola B. Kovachki

Youssef Marzouk

Papers citing "Conditional Sampling with Monotone GANs: from Generative Models to Likelihood-Free Inference"

9 / 9 papers shown

Title
Verification and Validation for Trustworthy Scientific Machine Learning John D. Jakeman Lorena A. Barba J. Martins Thomas O'Leary-Roseberry AI4CE 56 0 0 21 Feb 2025
Generative Conditional Distributions by Neural (Entropic) Optimal Transport Bao Nguyen Binh Nguyen Hieu Trung Nguyen Viet Anh Nguyen OT 42 1 0 04 Jun 2024
Nonlinear Filtering with Brenier Optimal Transport Maps Mohammad Al-Jarrah Niyizhen Jin Bamdad Hosseini Amirhossein Taghvaei 27 2 0 21 Oct 2023
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 96 184 0 12 Jan 2021
Preconditioned training of normalizing flows for variational inference in inverse problems Ali Siahkoohi G. Rizzuti M. Louboutin Philipp A. Witte Felix J. Herrmann 59 32 0 11 Jan 2021
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 112 95 0 10 Dec 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 203 2,281 0 18 Oct 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,344 0 12 Dec 2018
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 173 596 0 22 Sep 2016