A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustmentby Zhengchao Yang, Mithun…
FROC: Building Fair ROC from a Trained Classifierby Avyukta Manjunatha Vummintala, Shantanu Das, Sujit GujarFirst…
Generative AI for Banks: Benchmarks and Algorithms for Synthetic Financial Transaction Databy Fabian Sven Karst,…
Training Graph Neural Networks Using Non-Robust Samplesby Yongyu WangFirst submitted to arxiv on: 19 Dec…
ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestineby Rabee Qasem, Mohannad Hendi, Banan TantourFirst…
A parametric algorithm is optimal for non-parametric regression of smooth functionsby Davide Maran, Marcello RestelliFirst…
Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structureby Jeffrey Sardina, John…
MARIA: a Multimodal Transformer Model for Incomplete Healthcare Databy Camillo Maria Caruso, Paolo Soda, Valerio…
Answer Set Networks: Casting Answer Set Programming into Deep Learningby Arseny Skryagin, Daniel Ochs, Phillip…
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learningby Anthony Kobanda, Rémy Portelas, Odalric-Ambrym Maillard,…