Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictionsby Harrie Oosterhuis,…
Defining ‘Good’: Evaluation Framework for Synthetic Smart Meter Databy Sheng Chai, Gus Chadney, Charlot Avery,…
Cryptocurrency Price Forecasting Using XGBoost Regressor and Technical Indicatorsby Abdelatif Hafid, Maad Ebrahim, Ali Alfatemi,…
Characterizing and Understanding HGNN Training on GPUsby Dengke Han, Mingyu Yan, Xiaochun Ye, Dongrui FanFirst…
PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculationby Branden Butler, Sixing Yu, Arya Mazaheri, Ali…
Boosting drug-disease association prediction for drug repositioning via dual-feature extraction and cross-dual-domain decodingby Enqiang Zhu,…
Harmonizing Safety and Speed: A Human-Algorithm Approach to Enhance the FDA’s Medical Device Clearance Policyby…
Approximating the Number of Relevant Variables in a Parity Implies Proper Learningby Nader H. Bshouty,…
LoFTI: Localization and Factuality Transfer to Indian Localesby Sona Elza Simon, Soumen Kumar Mondal, Abhishek…
Variational Randomized Smoothing for Sample-Wise Adversarial Robustnessby Ryo Hase, Ye Wang, Toshiaki Koike-Akino, Jing Liu,…