Imagen de Portada

Wasserstein Distance-Weighted Adversarial Network for Cross-Domain Credit Risk Assessment

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Jiang, Mohan, Lin, Jiating, Ouyang, Hongju, Pan, Jingming, Han, Siyuan, Liu, Bingyao
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Predicting Liquidity Coverage Ratio with Gated Recurrent Units: A Deep Learning Model for Risk Management
por: Xu, Zhen, et al.
Publicado: (2024)

Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment
por: Liu, Bingyao, et al.
Publicado: (2024)

Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysis
por: Sun, Mengfang, et al.
Publicado: (2024)

Credit Risk Identification in Supply Chains Using Generative Adversarial Networks
por: Zhang, Zizhou, et al.
Publicado: (2025)

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision
por: Jiang, Mohan, et al.
Publicado: (2024)

Leveraging Convolutional Neural Network-Transformer Synergy for Predictive Modeling in Risk-Based Applications
por: Wang, Yuhan, et al.
Publicado: (2024)

Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances
por: Nguyen, Khai, et al.
Publicado: (2025)

Hidden States Know Where Reasoning Diverges: Credit Assignment via Span-Level Wasserstein Distance
por: Chen, Xinzhu, et al.
Publicado: (2026)

Recovering Wasserstein Distance Matrices from Few Measurements
por: Rana, Muhammad, et al.
Publicado: (2025)

Hybrid Quantum-Classical Neural Networks for Few-Shot Credit Risk Assessment
por: Wang, Zheng-an, et al.
Publicado: (2025)

Distance-Matrix Wasserstein Statistics for Scalable Gromov--Wasserstein Learning
por: Xu, Ao, et al.
Publicado: (2026)

Integrating Feature Attention and Temporal Modeling for Collaborative Financial Risk Assessment
por: Yao, Yue, et al.
Publicado: (2025)

Private Wasserstein Distance
por: Li, Wenqian, et al.
Publicado: (2024)

The Observable Wasserstein Distance
por: Santos, Edivaldo Lopes dos, et al.
Publicado: (2026)

An Empirical Study of Self-supervised Learning with Wasserstein Distance
por: Yamada, Makoto, et al.
Publicado: (2023)

Partial Distribution Matching via Partial Wasserstein Adversarial Networks
por: Wang, Zi-Ming, et al.
Publicado: (2024)

Feature Selection Based on Wasserstein Distance
por: Li, Fuwei
Publicado: (2024)

Relative Translation Invariant Wasserstein Distance
por: Wang, Binshuai, et al.
Publicado: (2024)

Distance-Based Tree-Sliced Wasserstein Distance
por: Tran, Hoang V., et al.
Publicado: (2025)

LendNova: Towards Automated Credit Risk Assessment with Language Models
por: Shamsi, Kiarash, et al.
Publicado: (2026)

The Z-Gromov-Wasserstein Distance
por: Bauer, Martin, et al.
Publicado: (2024)

Credit Risk Analysis for SMEs Using Graph Neural Networks in Supply Chain
por: Zhang, Zizhou, et al.
Publicado: (2025)

Latent Wasserstein Adversarial Imitation Learning
por: Yang, Siqi, et al.
Publicado: (2026)

Fast Gradient Computation for Gromov-Wasserstein Distance
por: Zhang, Wei, et al.
Publicado: (2024)

Sliced-Wasserstein Distance-based Data Selection
por: Pallage, Julien, et al.
Publicado: (2025)

Rethinking Model Selection in VLM Through the Lens of Gromov-Wasserstein Distance
por: Li, Muyang, et al.
Publicado: (2026)

Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
por: Lin, Ya-Wei Eileen, et al.
Publicado: (2024)

Graph Dimension Attention Networks for Enterprise Credit Assessment
por: Wei, Shaopeng, et al.
Publicado: (2024)

Wasserstein Distances, Neuronal Entanglement, and Sparsity
por: Sawmya, Shashata, et al.
Publicado: (2024)

Spherical Tree-Sliced Wasserstein Distance
por: Tran, Viet-Hoang, et al.
Publicado: (2025)

Robust Estimation under the Wasserstein Distance
por: Nietert, Sloan, et al.
Publicado: (2023)

Semidefinite Relaxations of the Gromov-Wasserstein Distance
por: Chen, Junyu, et al.
Publicado: (2023)

Slicing the Gaussian Mixture Wasserstein Distance
por: Piening, Moritz, et al.
Publicado: (2025)

Feature Ranking in Credit-Risk with Qudit-Based Networks
por: Maragkopoulos, Georgios, et al.
Publicado: (2025)

Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds
por: Bonet, Clément, et al.
Publicado: (2024)

Conformal Graph Prediction with Z-Gromov Wasserstein Distances
por: Melo, Gabriel, et al.
Publicado: (2026)

Markovian Sliced Wasserstein Distances: Beyond Independent Projections
por: Nguyen, Khai, et al.
Publicado: (2023)

Two-sample Test using Projected Wasserstein Distance
por: Wang, Jie, et al.
Publicado: (2020)

Efficient Distribution Learning with Error Bounds in Wasserstein Distance
por: Figueiredo, Eduardo, et al.
Publicado: (2026)

Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks
por: Qiu, Yixuan, et al.
Publicado: (2024)