Summary of Federated Temporal Graph Clustering, by Zihao Zhou et al.
Federated Temporal Graph Clusteringby Zihao Zhou, Yang Liu, Xianghong Xu, Qian LiFirst submitted to arxiv…
Summary of Towards Neural Scaling Laws For Time Series Foundation Models, by Qingren Yao et al.
Towards Neural Scaling Laws for Time Series Foundation Modelsby Qingren Yao, Chao-Han Huck Yang, Renhe…
Summary of Tracking Universal Features Through Fine-tuning and Model Merging, by Niels Horn and Desmond Elliott
Tracking Universal Features Through Fine-Tuning and Model Mergingby Niels Horn, Desmond ElliottFirst submitted to arxiv…
Summary of Perseus: Leveraging Common Data Patterns with Curriculum Learning For More Robust Graph Neural Networks, by Kaiwen Xia et al.
Perseus: Leveraging Common Data Patterns with Curriculum Learning for More Robust Graph Neural Networksby Kaiwen…
Summary of Conlux: Concept-based Local Unified Explanations, by Junhao Liu et al.
ConLUX: Concept-Based Local Unified Explanationsby Junhao Liu, Haonan Yu, Xin ZhangFirst submitted to arxiv on:…
Summary of Loss Landscape Characterization Of Neural Networks Without Over-parametrization, by Rustem Islamov et al.
Loss Landscape Characterization of Neural Networks without Over-Parametrizationby Rustem Islamov, Niccolò Ajroldi, Antonio Orvieto, Aurelien…
Summary of Training Neural Samplers with Reverse Diffusive Kl Divergence, by Jiajun He et al.
Training Neural Samplers with Reverse Diffusive KL Divergenceby Jiajun He, Wenlin Chen, Mingtian Zhang, David…
Summary of Sharpness-aware Black-box Optimization, by Feiyang Ye et al.
Sharpness-Aware Black-Box Optimizationby Feiyang Ye, Yueming Lyu, Xuehao Wang, Masashi Sugiyama, Yu Zhang, Ivor TsangFirst…
Summary of Helm: Hierarchical Encoding For Mrna Language Modeling, by Mehdi Yazdani-jahromi and Mangal Prakash and Tommaso Mansi and Artem Moskalev and Rui Liao
HELM: Hierarchical Encoding for mRNA Language Modelingby Mehdi Yazdani-Jahromi, Mangal Prakash, Tommaso Mansi, Artem Moskalev,…
Summary of Challenges, Methods, Data — a Survey Of Machine Learning in Water Distribution Networks, by Valerie Vaquet et al.
Challenges, Methods, Data – a Survey of Machine Learning in Water Distribution Networksby Valerie Vaquet,…