Uncertainty in latent representations of variational autoencoders optimized for visual tasksby Josefina Catoni, Domonkos Martos,…
Advances and Open Challenges in Federated Foundation Modelsby Chao Ren, Han Yu, Hongyi Peng, Xiaoli…
Graph Machine Learning in the Era of Large Language Models (LLMs)by Wenqi Fan, Shijie Wang,…
Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Databy Dayananda Herurkar, Sebastian Palacio, Ahmed Anwar, Joern…
Conformal Predictive Systems Under Covariate Shiftby Jef Jonkers, Glenn Van Wallendael, Luc Duchateau, Sofie Van…
A Learning Paradigm for Interpretable Gradientsby Felipe Torres Figueroa, Hanwei Zhang, Ronan Sicre, Yannis Avrithis,…
GCEPNet: Graph Convolution-Enhanced Expectation Propagation for Massive MIMO Detectionby Qincheng Lu, Sitao Luan, Xiao-Wen ChangFirst…
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routingby Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim,…
SpaceByte: Towards Deleting Tokenization from Large Language Modelingby Kevin SlagleFirst submitted to arxiv on: 22…
Tensor-Valued Time and Inference Path Optimization in Differential Equation-Based Generative Modelingby Dohoon Lee, Kyogu LeeFirst…