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Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation



Magda Amiridi , Nikos Kargas , Nicholas D. Sidiropoulos


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Probabilistic Simplex Component Analysis



Ruiyuan Wu , Wing-Kin Ma , Yuening Li , Anthony Man-Cho So , Nicholas D. Sidiropoulos


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eTREE: Learning Tree-structured Embeddings



Faisal M. Almutairi , Yunlong Wang , Dong Wang , Emily Zhao , Nicholas D. Sidiropoulos


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STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization



Nikos Kargas , Cheng Qian , Nicholas D. Sidiropoulos , Cao Xiao , Lucas M. Glass , Jimeng Sun


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GAGE: Geometry Preserving Attributed Graph Embeddings



Charilaos I. Kanatsoulis , Nicholas D. Sidiropoulos


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Information-theoretic Feature Selection via Tensor Decomposition and Submodularity



Magda Amiridi , Nikos Kargas , Nicholas D. Sidiropoulos


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TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing



Charilaos I. Kanatsoulis , Nicholas D. Sidiropoulos


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PHASED: Phase-Aware Submodularity-Based Energy Disaggregation



Faisal M. Almutairi , Aritra Konar , Ahmed S. Zamzam , Nicholas D. Sidiropoulos


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Nonparametric Multivariate Density Estimation: A Low-Rank Characteristic Function Approach



Magda Amiridi , Nikos Kargas , Nicholas D. Sidiropoulos


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