Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions

International Conference on Machine Learning (ICML), 2021

22 January 2021

Papers citing "Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions"

11 / 11 papers shown

Beyond the Norm: A Survey of Synthetic Data Generation for Rare Events

221

04 Jun 2025

Robust Generative Learning with Lipschitz-Regularized

α

-Divergences Allows Minimal Assumptions on Target Distributions

Ziyu Chen

Hyemin Gu

Markos A. Katsoulakis

Luc Rey-Bellet

Wei-wei Zhu

358

22 May 2024

Generalized Regression with Conditional GANs

Deddy Jobson

Eddy Hudson

AI4CE GAN OOD

193

21 Apr 2024

Combining deep generative models with extreme value theory for synthetic hazard simulation: a multivariate and spatially coherent approach

Alison Peard

Jim Hall

AI4CE

154

30 Nov 2023

ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models

559

01 Jul 2023

A VAE Approach to Sample Multivariate Extremes

N. Lafon

Philippe Naveau

Ronan Fablet

277

19 Jun 2023

Data-Driven Modeling of Noise Time Series with Convolutional Generative Adversarial Networks

A. Wunderlich

Jack G. Sklar

AI4TS

286

03 Jul 2022

Modelling and simulating spatial extremes by combining extreme value theory with generative adversarial networks

Jakob Zscheischler

170

30 Oct 2021

On some theoretical limitations of Generative Adversarial Networks

Benoit Oriol

Alexandre Miot

GAN

203

21 Oct 2021

Approximating Probability Distributions by using Wasserstein Generative Adversarial NetworksSIAM Journal on Mathematics of Data Science (SIMODS), 2021

437

18 Mar 2021

OPT-GAN: A Broad-Spectrum Global Optimizer for Black-box Problems by Learning DistributionAAAI Conference on Artificial Intelligence (AAAI), 2021

405

07 Feb 2021