{"total":26,"rows":[{"id":"2110.08009","title":"MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining","created":"2021-10-15","cited_by_count":23,"area":null},{"id":"2308.16316","title":"Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art","created":"2023-08-30","cited_by_count":14,"area":null},{"id":"2102.00199","title":"Rates of convergence for density estimation with generative adversarial networks","created":"2021-01-30","cited_by_count":13,"area":null},{"id":"2105.04046","title":"A likelihood approach to nonparametric estimation of a singular distribution using deep generative models","created":"2021-05-09","cited_by_count":12,"area":null},{"id":"2405.04715","title":"Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning","created":"2024-05-07","cited_by_count":7,"area":null},{"id":"2102.00208","title":"Time Series (re)sampling using Generative Adversarial Networks","created":"2021-01-30","cited_by_count":4,"area":null},{"id":"2112.04758","title":"Does Redundancy in AI Perception Systems Help to Test for Super-Human Automated Driving Performance?","created":"2021-12-09","cited_by_count":4,"area":null},{"id":"2405.06816","title":"Non-stationary Domain Generalization: Theory and Algorithm","created":"2024-05-10","cited_by_count":4,"area":null},{"id":"2104.01437","title":"Monte Carlo Simulation of SDEs using GANs","created":"2021-04-03","cited_by_count":3,"area":null},{"id":"2104.10601","title":"Statistical inference for generative adversarial networks and other minimax problems","created":"2021-04-21","cited_by_count":3,"area":null},{"id":"2110.03995","title":"Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency","created":"2021-10-08","cited_by_count":3,"area":null},{"id":"2307.16422","title":"Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution","created":"2023-07-31","cited_by_count":3,"area":null},{"id":"2403.15312","title":"A Wasserstein perspective of Vanilla GANs","created":"2024-03-22","cited_by_count":3,"area":null},{"id":"2503.10729","title":"Numerical and statistical analysis of NeuralODE with Runge-Kutta time integration","created":"2025-03-13","cited_by_count":3,"area":null},{"id":"2504.19779","title":"Learning Brenier Potentials with Convex Generative Adversarial Neural Networks","created":"2025-04-28","cited_by_count":3,"area":null},{"id":"2209.06853","title":"Asymptotic Statistical Analysis of $f$-divergence GAN","created":"2022-09-14","cited_by_count":2,"area":null},{"id":"2502.01310","title":"A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers","created":"2025-02-03","cited_by_count":2,"area":null},{"id":"2305.19111","title":"GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts","created":"2023-05-30","cited_by_count":1,"area":null},{"id":"2511.07997","title":"PrAda-GAN: A Private Adaptive Generative Adversarial Network with Bayes Network Structure","created":"2025-11-11","cited_by_count":1,"area":null},{"id":"2112.14061","title":"Investigating Shifts in GAN Output-Distributions","created":"2021-12-28","cited_by_count":0,"area":null},{"id":"2403.15108","title":"Active Learning for Regression based on Wasserstein distance and GroupSort Neural Networks","created":"2024-03-22","cited_by_count":0,"area":null},{"id":"2412.13036","title":"Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm","created":"2024-12-17","cited_by_count":0,"area":null},{"id":"2512.12267","title":"Hellinger loss function for Generative Adversarial Networks","created":"2025-12-13","cited_by_count":0,"area":null},{"id":"2602.18216","title":"Generative Model via Quantile Assignment","created":"2026-02-20","cited_by_count":0,"area":null},{"id":"2605.18425","title":"Generative Adversarial Learning from Deterministic Processes","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2606.16773","title":"Generative Predictive Distributions for Time Series","created":"2026-06-15","cited_by_count":0,"area":null}],"next_cursor":null}