FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimizationby Zhiyuan…
LMD3: Language Model Data Density Dependenceby John Kirchenbauer, Garrett Honke, Gowthami Somepalli, Jonas Geiping, Daphne…
Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPsby Davide Maran, Alberto…
TrafficGPT: Towards Multi-Scale Traffic Analysis and Generation with Spatial-Temporal Agent Frameworkby Jinhui Ouyang, Yijie Zhu,…
Physics-Enhanced Machine Learning: a position paper for dynamical systems investigationsby Alice CicirelloFirst submitted to arxiv…
Clustering-based Multitasking Deep Neural Network for Solar Photovoltaics Power Generation Predictionby Hui Song, Zheng Miao,…
Agent-oriented Joint Decision Support for Data Owners in Auction-based Federated Learningby Xiaoli Tang, Han Yu,…
Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learningby Fengyi Gao,…
LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkitby Ruihao Gong, Yang Yong,…
Wilsonian Renormalization of Neural Network Gaussian Processesby Jessica N. Howard, Ro Jefferson, Anindita Maiti, Zohar…