Class-preserving manifold learning for detection and classification. - Puoya Tabaghi; Mahmood R. Azimi-Sadjadi (IJCNN, 2015)

On the Move: Localization with Kinetic Euclidean Distance Matrices. - Puoya Tabaghi; Ivan Dokmanic; Martin Vetterli (ICASSP, 2019)

Learning Schatten-Von Neumann Operators. - Puoya Tabaghi; Maarten V. de Hoop; Ivan Dokmanic (CoRR, 2019)

Hyperbolic Distance Matrices. - Puoya Tabaghi; Ivan Dokmanic (KDD, 2020)

Geometry of Comparisons. - Puoya Tabaghi; Ivan Dokmanic (CoRR, 2020)

Kinetic Euclidean Distance Matrices. - Puoya Tabaghi; Ivan Dokmanic; Martin Vetterli (IEEE Trans. Signal Process., 2020)

Highly Scalable and Provably Accurate Classification in Poincaré Balls. - Eli Chien; Chao Pan 003; Puoya Tabaghi; Olgica Milenkovic (ICDM, 2021)

Linear Classifiers in Mixed Constant Curvature Spaces. - Puoya Tabaghi; Eli Chien; Chao Pan 003; Olgica Milenkovic (CoRR, 2021)

On Procrustes Analysis in Hyperbolic Space. - Puoya Tabaghi; Ivan Dokmanic (IEEE Signal Process. Lett., 2021)

HyperAid: Denoising in Hyperbolic Spaces for Tree-fitting and Hierarchical Clustering. - Eli Chien; Puoya Tabaghi; Olgica Milenkovic (KDD, 2022)

Phylogenetic Placement Problem: A Hyperbolic Embedding Approach. - Yueyu Jiang; Puoya Tabaghi; Siavash Mirarab (RECOMB-CG, 2022)

Provably accurate and scalable linear classifiers in hyperbolic spaces. - Chao Pan 003; Eli Chien; Puoya Tabaghi; Jianhao Peng; Olgica Milenkovic (Knowl. Inf. Syst., 2023)

Learning Ultrametric Trees for Optimal Transport Regression. - Samantha Chen 001; Puoya Tabaghi; Yusu Wang 001 (AAAI, 2024)

DE-HNN: An effective neural model for Circuit Netlist representation. - Zhishang Luo; Truong Son Hy; Puoya Tabaghi; Michaël Defferrard; Elahe Rezaei; Ryan Carey; W. Rhett Davis; Rajeev Jain; Yusu Wang 001 (AISTATS, 2024)

Universal Representation of Permutation-Invariant Functions on Vectors and Tensors. - Puoya Tabaghi; Yusu Wang 001 (ALT, 2024)

Optimal Tree Metric Matching Enables Phylogenomic Branch Length Estimation. - Shayesteh Arasti; Puoya Tabaghi; Yasamin Tabatabaee; Siavash Mirarab (RECOMB, 2024)

DE-HNN: An effective neural model for Circuit Netlist representation. - Zhishang Luo; Truong Son Hy; Puoya Tabaghi; Donghyeon Koh; Michaël Defferrard; Elahe Rezaei; Ryan Carey; W. Rhett Davis; Rajeev Jain; Yusu Wang 001 (CoRR, 2024)

Principal Component Analysis in Space Forms. - Puoya Tabaghi; Michael Khanzadeh; Yusu Wang 001; Siavash Mirarab (IEEE Trans. Signal Process., 2024)