Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equationsby Jan Hagnberger,…
Cross-variable Linear Integrated ENhanced Transformer for Photovoltaic power forecastingby Jiaxin Gao, Qinglong Cao, Yuntian Chen,…
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecastingby Jiaxi Hu, Qingsong Wen, Sijie Ruan, Li…
Credit Card Fraud Detection Using Advanced Transformer Modelby Chang Yu, Yongshun Xu, Jin Cao, Ye…
Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMsby Alexander Bakumenko, Kateřina Hlaváčková-Schindler, Claudia Plant,…
Synthetic Oversampling: Theory and A Practical Approach Using LLMs to Address Data Imbalanceby Ryumei Nakada,…
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programmingby Yousef A. Radwan, Gabriel…
Computational Limits of Low-Rank Adaptation (LoRA) for Transformer-Based Modelsby Jerry Yao-Chieh Hu, Maojiang Su, En-Jui…
Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Modelsby Qutub Syed Sha, Michael…
Population Transformer: Learning Population-level Representations of Neural Activityby Geeling Chau, Christopher Wang, Sabera Talukder, Vighnesh…