Summary of Vista: a Panoramic View Of Neural Representations, by Tom White
VISTA: A Panoramic View of Neural Representationsby Tom WhiteFirst submitted to arxiv on: 3 Dec…
Summary of An Automated Data Mining Framework Using Autoencoders For Feature Extraction and Dimensionality Reduction, by Yaxin Liang et al.
An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reductionby Yaxin Liang,…
Summary of Suica: Learning Super-high Dimensional Sparse Implicit Neural Representations For Spatial Transcriptomics, by Qingtian Zhu et al.
SUICA: Learning Super-high Dimensional Sparse Implicit Neural Representations for Spatial Transcriptomicsby Qingtian Zhu, Yumin Zheng,…
Summary of Explicit and Data-efficient Encoding Via Gradient Flow, by Kyriakos Flouris et al.
Explicit and data-Efficient Encoding via Gradient Flowby Kyriakos Flouris, Anna Volokitin, Gustav Bredell, Ender KonukogluFirst…
Summary of Proper Latent Decomposition, by Daniel Kelshaw et al.
Proper Latent Decompositionby Daniel Kelshaw, Luca MagriFirst submitted to arxiv on: 1 Dec 2024CategoriesMain: Machine…
Summary of Gefm: Graph-enhanced Eeg Foundation Model, by Limin Wang et al.
GEFM: Graph-Enhanced EEG Foundation Modelby Limin Wang, Toyotaro Suzumura, Hiroki KanezashiFirst submitted to arxiv on:…
Summary of Pre-training Graph Contrastive Masked Autoencoders Are Strong Distillers For Eeg, by Xinxu Wei et al.
Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEGby Xinxu Wei, Kanhao Zhao, Yong…
Summary of Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework, by Amirabbas Afzali et al.
Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Frameworkby Amirabbas Afzali,…
Summary of Urban Region Embeddings From Service-specific Mobile Traffic Data, by Giulio Loddi et al.
Urban Region Embeddings from Service-Specific Mobile Traffic Databy Giulio Loddi, Chiara Pugliese, Francesco Lettich, Fabio…
Summary of Red: Effective Trajectory Representation Learning with Comprehensive Information, by Silin Zhou et al.
RED: Effective Trajectory Representation Learning with Comprehensive Informationby Silin Zhou, Shuo Shang, Lisi Chen, Christian…