Summary of Gaussian Mixture Models Based Augmentation Enhances Gnn Generalization, by Yassine Abbahaddou et al.
Gaussian Mixture Models Based Augmentation Enhances GNN Generalizationby Yassine Abbahaddou, Fragkiskos D. Malliaros, Johannes F.…
Summary of Accelerating Quasi-static Time Series Simulations with Foundation Models, by Alban Puech et al.
Accelerating Quasi-Static Time Series Simulations with Foundation Modelsby Alban Puech, François Mirallès, Jonas Weiss, Vincent…
Summary of Unimat: Unifying Materials Embeddings Through Multi-modal Learning, by Janghoon Ock et al.
UniMat: Unifying Materials Embeddings through Multi-modal Learningby Janghoon Ock, Joseph Montoya, Daniel Schweigert, Linda Hung,…
Summary of Measuring Similarity Between Embedding Spaces Using Induced Neighborhood Graphs, by Tiago F. Tavares et al.
Measuring similarity between embedding spaces using induced neighborhood graphsby Tiago F. Tavares, Fabio Ayres, Paris…
Summary of Fedsub: Introducing Class-aware Subnetworks Fusion to Enhance Personalized Federated Learning in Ubiquitous Systems, by Mattia Giovanni Campana and Franca Delmastro
FedSub: Introducing class-aware Subnetworks Fusion to Enhance Personalized Federated Learning in Ubiquitous Systemsby Mattia Giovanni…
Summary of Trace: Transformer-based Risk Assessment For Clinical Evaluation, by Dionysis Christopoulos et al.
TRACE: Transformer-based Risk Assessment for Clinical Evaluationby Dionysis Christopoulos, Sotiris Spanos, Valsamis Ntouskos, Konstantinos KarantzalosFirst…
Summary of Mvktrans: Multi-view Knowledge Transfer For Robust Multiomics Classification, by Shan Cong et al.
MVKTrans: Multi-View Knowledge Transfer for Robust Multiomics Classificationby Shan Cong, Zhiling Sang, Hongwei Liu, Haoran…
Summary of Balancing Speed and Stability: the Trade-offs Of Fp8 Vs. Bf16 Training in Llms, by Kazuki Fujii et al.
Balancing Speed and Stability: The Trade-offs of FP8 vs. BF16 Training in LLMsby Kazuki Fujii, Taishi…
Summary of Weakly-supervised Anomaly Detection in Surveillance Videos Based on Two-stream I3d Convolution Network, by Sareh Soltani Nejad et al.
Weakly-Supervised Anomaly Detection in Surveillance Videos Based on Two-Stream I3D Convolution Networkby Sareh Soltani Nejad,…
Summary of Scalenet: Scale Invariance Learning in Directed Graphs, by Qin Jiang et al.
ScaleNet: Scale Invariance Learning in Directed Graphsby Qin Jiang, Chengjia Wang, Michael Lones, Yingfang Yuan,…