Statistical Learning Using Hierarchical Modeling of Probability Tensors. - Magda Amiridi; Nikos Kargas; Nicholas D. Sidiropoulos (DSW, 2019)

From Gene Expression to Drug Response: A Collaborative Filtering Approach. - Cheng Qian 001; Nicholas D. Sidiropoulos; Magda Amiridi; Amin Emad (ICASSP, 2019)

Nonparametric Multivariate Density Estimation: A Low-Rank Characteristic Function Approach. - Magda Amiridi; Nikos Kargas; Nicholas D. Sidiropoulos (CoRR, 2020)

Information-Theoretic Feature Selection via Tensor Decomposition and Submodularity. - Magda Amiridi; Nikos Kargas; Nicholas D. Sidiropoulos (IEEE Trans. Signal Process., 2021)

Latent Temporal Flows for Multivariate Analysis of Wearables Data. - Magda Amiridi; Gregory Darnell; Sean Jewell (MLHC, 2022)

Learning Multivariate CDFs and Copulas using Tensor Factorization. - Magda Amiridi; Nicholas D. Sidiropoulos (CoRR, 2022)

Low-Rank Characteristic Tensor Density Estimation Part I: Foundations. - Magda Amiridi; Nikos Kargas; Nicholas D. Sidiropoulos (IEEE Trans. Signal Process., 2022)

Low-Rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation. - Magda Amiridi; Nikos Kargas; Nicholas D. Sidiropoulos (IEEE Trans. Signal Process., 2022)

Enrollment Rate Prediction in Clinical Trials based on CDF Sketching and Tensor Factorization tools. - Magda Amiridi; Cheng Qian 001; Nicholas D. Sidiropoulos; Lucas M. Glass (ICASSP, 2023)