{"total":15,"rows":[{"id":"2107.05680","title":"Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions","created":"2021-07-12","cited_by_count":14,"area":null},{"id":"2110.06482","title":"Parallel Deep Neural Networks Have Zero Duality Gap","created":"2021-10-13","cited_by_count":9,"area":null},{"id":"2108.07783","title":"Toward a `Standard Model' of Machine Learning","created":"2021-08-17","cited_by_count":8,"area":null},{"id":"2106.07537","title":"A Wasserstein Minimax Framework for Mixed Linear Regression","created":"2021-06-14","cited_by_count":7,"area":null},{"id":"2109.05652","title":"Inferential Wasserstein Generative Adversarial Networks","created":"2021-09-13","cited_by_count":6,"area":null},{"id":"2102.13416","title":"Moreau-Yosida $f$-divergences","created":"2021-02-26","cited_by_count":5,"area":null},{"id":"2111.13282","title":"Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey","created":"2021-11-26","cited_by_count":4,"area":null},{"id":"2103.12685","title":"Generative Minimization Networks: Training GANs Without Competition","created":"2021-03-23","cited_by_count":3,"area":null},{"id":"2105.04801","title":"On Characterizing GAN Convergence Through Proximal Duality Gap","created":"2021-05-11","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":"2401.15952","title":"A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation","created":"2024-01-29","cited_by_count":2,"area":null},{"id":"2406.16834","title":"Statistical Error Bounds for GANs with Nonlinear Objective Functionals","created":"2024-06-24","cited_by_count":2,"area":null},{"id":"2105.04769","title":"Scalable Personalised Item Ranking through Parametric Density Estimation","created":"2021-05-11","cited_by_count":0,"area":null},{"id":"2401.16294","title":"Dual feature-based and example-based explanation methods","created":"2024-01-29","cited_by_count":0,"area":null},{"id":"2603.18817","title":"Seasoning Generative Models for a Generalization Aftertaste","created":"2026-03-19","cited_by_count":0,"area":null}],"next_cursor":null}