FinLangNet: A Novel Deep Learning Framework for Credit Risk Prediction Using Linguistic Analogy in Financial Data

1 code implementation • 19 Apr 2024 • Yu Lei, Zixuan Wang, Chu Liu, Tongyao Wang, Dongyang Lee

Our research demonstrates that FinLangNet surpasses traditional statistical methods in predicting credit risk and that its integration with these methods enhances credit card fraud prediction models, achieving a significant improvement of over 1. 5 points in the Kolmogorov-Smirnov metric.

Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees

no code implementations • 7 Oct 2022 • Weijie Gan, Chunwei Ying, Parna Eshraghi, Tongyao Wang, Cihat Eldeniz, Yuyang Hu, Jiaming Liu, Yasheng Chen, Hongyu An, Ulugbek S. Kamilov

Our numerical results on in-vivo MRI data show that SelfDEQ leads to state-of-the-art performance using only undersampled and noisy training data.

Image Reconstruction

SPICE: Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation

no code implementations • 5 Oct 2022 • Yuyang Hu, Weijie Gan, Chunwei Ying, Tongyao Wang, Cihat Eldeniz, Jiaming Liu, Yasheng Chen, Hongyu An, Ulugbek S. Kamilov

However, estimation of accurate CSMs is a challenging problem when measurements are highly undersampled.

Self-Supervised Learning