Continual Deep Learning on the Edge via Stochastic Local Competition among Subnetworksby Theodoros Christophides, Kyriakos…
Learning Dynamics of LLM Finetuningby Yi Ren, Danica J. SutherlandFirst submitted to arxiv on: 15…
Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometryby Ziheng Chen,…
Convex space learning for tabular synthetic data generationby Manjunath Mahendra, Chaithra Umesh, Saptarshi Bej, Kristian…
Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPsby Jiahuan…
Foundation Models for the Electric Power Gridby Hendrik F. Hamann, Thomas Brunschwiler, Blazhe Gjorgiev, Leonardo…
A Deep Learning Framework for Three Dimensional Shape Reconstruction from Phaseless Acoustic Scattering Far-field Databy…
Deep Adversarial Defense Against Multilevel-Lp Attacksby Ren Wang, Yuxuan Li, Alfred HeroFirst submitted to arxiv…
Unifying Sequences, Structures, and Descriptions for Any-to-Any Protein Generation with the Large Multimodal Model HelixProtXby…
Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradationby…