Summary of Heterogeneous Graph Reasoning For Fact Checking Over Texts and Tables, by Haisong Gong et al.
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tablesby Haisong Gong, Weizhi Xu, Shu…
Summary of Biofusionnet: Deep Learning-based Survival Risk Stratification in Er+ Breast Cancer Through Multifeature and Multimodal Data Fusion, by Raktim Kumar Mondol et al.
BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data…
Summary of Aligning Crowd Feedback Via Distributional Preference Reward Modeling, by Dexun Li et al.
Aligning Crowd Feedback via Distributional Preference Reward Modelingby Dexun Li, Cong Zhang, Kuicai Dong, Derrick…
Summary of Partially Recentralization Softmax Loss For Vision-language Models Robustness, by Hao Wang et al.
Partially Recentralization Softmax Loss for Vision-Language Models Robustnessby Hao Wang, Jinzhe Jiang, Xin Zhang, Chen…
Summary of Inpainting Normal Maps For Lightstage Data, by Hancheng Zuo and Bernard Tiddeman
Inpainting Normal Maps for Lightstage databy Hancheng Zuo, Bernard TiddemanFirst submitted to arxiv on: 16…
Summary of Learning Segmented 3d Gaussians Via Efficient Feature Unprojection For Zero-shot Neural Scene Segmentation, by Bin Dou et al.
Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentationby Bin Dou,…
Summary of Federated Unlearning with Gradient Descent and Conflict Mitigation, by Zibin Pan et al.
Federated Unlearning with Gradient Descent and Conflict Mitigationby Zibin Pan, Zhichao Wang, Chi Li, Kaiyan…
Summary of Reduced Order Models and Conditional Expectation — Analysing Parametric Low-order Approximations, by Hermann G. Matthies
Reduced Order Models and Conditional Expectation – Analysing Parametric Low-Order Approximationsby Hermann G. MatthiesFirst submitted…
Summary of Xpatch: Dual-stream Time Series Forecasting with Exponential Seasonal-trend Decomposition, by Artyom Stitsyuk and Jaesik Choi
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decompositionby Artyom Stitsyuk, Jaesik ChoiFirst submitted to…
Summary of Improving the Noise Estimation Of Latent Neural Stochastic Differential Equations, by Linus Heck et al.
Improving the Noise Estimation of Latent Neural Stochastic Differential Equationsby Linus Heck, Maximilian Gelbrecht, Michael…