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cs.LG2026
Tabular Foundation Models for Credit Risk Prediction: A Dedicated Review and Empirical Comparison
Bart Baesens, Andreas Goethals, Stefan Lessmann +10
Predictive models are central to credit risk management, where the accuracy of default-probability and loss estimates affects the profitability of lending and the stability of the…
cs.LG2026
Data-Local Autonomous LLM-Guided Neural Architecture Search for Multiclass Multimodal Time-Series Classification
Emil Hardarson, Luka Biedebach, Ómar Bessi Ómarsson +3
Applying machine learning to sensitive time-series data is often bottlenecked by the iteration loop: Performance depends strongly on preprocessing and architecture, yet training of…
cs.LG2025
Chaos into Order: Neural Framework for Expected Value Estimation of Stochastic Partial Differential Equations
Ísak Pétursson, María Óskarsdóttir
Stochastic partial differential equations (SPDEs) describe the evolution of random processes over space and time, but their solutions are often analytically intractable and computa…