Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FRONDby Qiyu Kang, Kai…
Efficient Multi-Model Fusion with Adversarial Complementary Representation Learningby Zuheng Kang, Yayun He, Jianzong Wang, Junqing…
Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Databy Dayananda Herurkar, Sebastian Palacio, Ahmed Anwar, Joern…
Machine Learning Techniques for MRI Data Processing at Expanding Scaleby Taro LangnerFirst submitted to arxiv…
Fermi-Bose Machine achieves both generalization and adversarial robustnessby Mingshan Xie, Yuchen Wang, Haiping HuangFirst submitted…
SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph Convolution and Poolingby Zehao Dong, Muhan Zhang,…
R3L: Relative Representations for Reinforcement Learningby Antonio Pio Ricciardi, Valentino Maiorca, Luca Moschella, Riccardo Marin,…
Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation Learningby Jie Chen, Pengfei Ou, Yuxin…
A Mean-Field Analysis of Neural Stochastic Gradient Descent-Ascent for Functional Minimax Optimizationby Yuchen Zhu, Yufeng…
Efflex: Efficient and Flexible Pipeline for Spatio-Temporal Trajectory Graph Modeling and Representation Learningby Ming Cheng,…