Jump Diffusion-Informed Neural Networks with Transfer Learning for Accurate American Option Pricing under Data Scarcityby…
Bridging OOD Detection and Generalization: A Graph-Theoretic Viewby Han Wang, Yixuan LiFirst submitted to arxiv…
A multi-source data power load forecasting method using attention mechanism-based parallel cnn-gruby Chao Min, Yijia…
Sample Compression Unleashed: New Generalization Bounds for Real Valued Lossesby Mathieu Bazinet, Valentina Zantedeschi, Pascal…
Benign Overfitting in Token Selection of Attention Mechanismby Keitaro Sakamoto, Issei SatoFirst submitted to arxiv…
Non-asymptotic Convergence of Training Transformers for Next-token Predictionby Ruiquan Huang, Yingbin Liang, Jing YangFirst submitted…
Data-efficient Trajectory Prediction via Coreset Selectionby Ruining Yang, Lili SuFirst submitted to arxiv on: 25…
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularizationby Yao Ni, Shan Zhang, Piotr KoniuszFirst…
Neural Network Plasticity and Loss Sharpnessby Max Koster, Jude KuklaFirst submitted to arxiv on: 25…
GB-RVFL: Fusion of Randomized Neural Network and Granular Ball Computingby M. Sajid, A. Quadir, M.…