Imagen de Portada

Foundation Models for Credit Risk Prediction: A Game Changer?

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Baesens, Bart, Goethals, Andreas, Lessmann, Stefan, De Vos, Simon, Bravo, Cristián, Martens, David, Medina-Olivares, Victor, Mues, Christophe, Oskarsdóttir, Maria, Broucke, Seppe vanden, Verdonck, Tim, Verbeke, Wouter
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money Laundering
por: Deprez, Bruno, et al.
Publicado: (2025)

On the Performance of LLMs for Real Estate Appraisal
por: Geerts, Margot, et al.
Publicado: (2025)

Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation
por: Deprez, Bruno, et al.
Publicado: (2024)

Advances in Continual Graph Learning for Anti-Money Laundering Systems: A Comprehensive Review
por: Deprez, Bruno, et al.
Publicado: (2025)

Advances in Continual Graph Learning for Anti‐Money Laundering Systems: A Comprehensive Review
por: Bruno Deprez, et al.
Publicado: (2025)

A Multimodal Approach to SME Credit Scoring Integrating Transaction and Ownership Networks
por: Zandi, Sahab, et al.
Publicado: (2025)

Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction
por: Zandi, Sahab, et al.
Publicado: (2024)

Is TabPFN the Silver Bullet for Insurance Pricing?
por: Deprez, Bruno, et al.
Publicado: (2026)

Fraud Analytics: A Decade of Research -- Organizing Challenges and Solutions in the Field
por: Bockel-Rickermann, Christopher, et al.
Publicado: (2022)

INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks
por: Tiukhova, Elena, et al.
Publicado: (2023)

Uplift modeling with continuous treatments: A predict-then-optimize approach
por: De Vos, Simon, et al.
Publicado: (2024)

Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection
por: Vandervorst, Félix, et al.
Publicado: (2025)

Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation
por: Bockel-Rickermann, Christopher, et al.
Publicado: (2024)

Large-scale Time-Varying Portfolio Optimisation using Graph Attention Networks
por: Korangi, Kamesh, et al.
Publicado: (2024)

A transformer-based model for default prediction in mid-cap corporate markets
por: Korangi, Kamesh, et al.
Publicado: (2021)

A Distributionally Robust Optimisation Approach to Fair Credit Scoring
por: Casas, Pablo, et al.
Publicado: (2024)

Using representation balancing to learn conditional-average dose responses from clustered data
por: Bockel-Rickermann, Christopher, et al.
Publicado: (2023)

Time-Series Foundation Models for Forecasting Soil Moisture Levels in Smart Agriculture
por: Deforce, Boje, et al.
Publicado: (2024)

The Deep Promotion Time Cure Model
por: Medina-Olivares, Victor, et al.
Publicado: (2023)

Uncertainty in Machine Learning
por: Weytjens, Hans, et al.
Publicado: (2025)

Are Economists Always More Introverted? Analyzing Consistency in Persona-Assigned LLMs
por: Reusens, Manon, et al.
Publicado: (2025)

Weighted Tensor Decompositions for Context-aware Collaborative Filtering
por: De Pauw, Joey, et al.
Publicado: (2025)

Discrete-event Tensor Factorization: Learning a Smooth Embedding for Continuous Domains
por: De Pauw, Joey, et al.
Publicado: (2025)

Semi-structured multi-state delinquency model for mortgage default
por: Medina-Olivares, Victor, et al.
Publicado: (2026)

LLMs: A Game-Changer for Software Engineers?
por: Haque, Md Asraful
Publicado: (2024)

Artificial Intelligence: The Corporate Dealmaking Game‐Changer
por: Steven Lee, et al.
Publicado: (2024)

On zero-density estimates for Beurling zeta functions
por: Broucke, Frederik
Publicado: (2024)

On the connection between zero-free regions and the error term in the Prime Number Theorem
por: Broucke, Frederik
Publicado: (2025)

Decision-centric fairness: Evaluation and optimization for resource allocation problems
por: De Vos, Simon, et al.
Publicado: (2025)

Using dynamic loss weighting to boost improvements in forecast stability
por: Caljon, Daan, et al.
Publicado: (2024)

What Data is Really Necessary? A Feasibility Study of Inference Data Minimization for Recommender Systems
por: Leysen, Jens, et al.
Publicado: (2025)

Moiré Synergy: An Emerging Game Changer by Moiré of Moiré
por: Cai, Xiangbin, et al.
Publicado: (2023)

"Kinzhal" – A Game-Changer or a Questionable Asset
por: Suslov, Volodymyr
Publicado: (2022)

Automated Vehicles as a Game Changer for Sustainable Mobility
Publicado: (2024)

A Game Changer to Short‐Term Rentals in Spain
por: Francisco Sánchez‐Cubo, et al.
Publicado: (2025)

Collaborative governance of cyber violence: A two-phase, multi-scenario four-party evolutionary game and SBI1I2R public opinion dissemination
por: Yang, Xiaoting, et al.
Publicado: (2025)

Would a Large Language Model Pay Extra for a View? Inferring Willingness to Pay from Subjective Choices
por: Reusens, Manon, et al.
Publicado: (2026)

MetaLab: Few-Shot Game Changer for Image Recognition
por: Qi, Chaofei, et al.
Publicado: (2025)

Is Gene Therapy the Game‐Changer for Autosomal Recessive Deafness 9?
por: Asad Gul Rao, et al.
Publicado: (2024)

In-Network Collective Operations: Game Changer or Challenge for AI Workloads?
por: Hoefler, Torsten, et al.
Publicado: (2026)