Summary of Collision-based Dynamics For Multi-marginal Optimal Transport, by Mohsen Sadr and Hossein Gorji
Collision-based Dynamics for Multi-Marginal Optimal Transportby Mohsen Sadr, Hossein GorjiFirst submitted to arxiv on: 20…
Summary of Ethics and Technical Aspects Of Generative Ai Models in Digital Content Creation, by Atahan Karagoz
Ethics and Technical Aspects of Generative AI Models in Digital Content Creationby Atahan KaragozFirst submitted…
Summary of Gat-rwos: Graph Attention-guided Random Walk Oversampling For Imbalanced Data Classification, by Zahiriddin Rustamov et al.
GAT-RWOS: Graph Attention-Guided Random Walk Oversampling for Imbalanced Data Classificationby Zahiriddin Rustamov, Abderrahmane Lakas, Nazar…
Summary of Uncertainty Quantification in Continual Open-world Learning, by Amanda S. Rios et al.
Uncertainty Quantification in Continual Open-World Learningby Amanda S. Rios, Ibrahima J. Ndiour, Parual Datta, Jaroslaw…
Summary of Learning Disease Progression Models That Capture Health Disparities, by Erica Chiang et al.
Learning Disease Progression Models That Capture Health Disparitiesby Erica Chiang, Divya Shanmugam, Ashley N. Beecy,…
Summary of Identifying Cyberbullying Roles in Social Media, by Manuel Sandoval et al.
Identifying Cyberbullying Roles in Social Mediaby Manuel Sandoval, Mohammed Abuhamad, Patrick Furman, Mujtaba Nazari, Deborah…
Summary of Technical Report: Small Language Model For Japanese Clinical and Medicine, by Shogo Watanabe
Technical Report: Small Language Model for Japanese Clinical and Medicineby Shogo WatanabeFirst submitted to arxiv…
Summary of Thegcn: Temporal Heterophilic Graph Convolutional Network, by Yuchen Yan et al.
THeGCN: Temporal Heterophilic Graph Convolutional Networkby Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Xiaoting Li, Zhe…
Summary of Data-driven Fairness Generalization For Deepfake Detection, by Uzoamaka Ezeakunne et al.
Data-Driven Fairness Generalization for Deepfake Detectionby Uzoamaka Ezeakunne, Chrisantus Eze, Xiuwen LiuFirst submitted to arxiv…
Summary of Towards Graph Foundation Models: Learning Generalities Across Graphs Via Task-trees, by Zehong Wang et al.
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Treesby Zehong Wang, Zheyuan Zhang, Tianyi…