A Two-Stage Imaging Framework Combining CNN and Physics-Informed Neural Networks for Full-Inverse Tomography: A Case…
Revisiting Machine Unlearning with Dimensional Alignmentby Seonguk Seo, Dongwan Kim, Bohyung HanFirst submitted to arxiv…
Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotationsby Linhao Qu, Dan…
Your Graph Recommender is Provably a Single-view Graph Contrastive Learningby Wenjie Yang, Shengzhong Zhang, Jiaxing…
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representationsby Guogang Zhu, Xuefeng…
KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal Modelsby Eunice Yiu, Maan Qraitem, Anisa Noor…
Advancing Multi-Modal Sensing Through Expandable Modality Alignmentby Shenghong Dai, Shiqi Jiang, Yifan Yang, Ting Cao,…
Ensemble data assimilation to diagnose AI-based weather prediction model: A case with ClimaX version 0.3.1by…
Enhancing Diversity in Multi-objective Feature Selectionby Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian Bidgoli, Sevda…
Exploring the Limitations of Kolmogorov-Arnold Networks in Classification: Insights to Software Training and Hardware Implementationby…