Puoya Tabaghi

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 24

Top Topics

Euclidean Distance

Linear Classifiers

Highly Scalable

Top Venues

IEEE Signal Process. Lett.

Publications

Samantha Chen, Puoya Tabaghi, Yusu Wang
Learning Ultrametric Trees for Optimal Transport Regression. AAAI (2024)
Puoya Tabaghi, Yusu Wang
Universal Representation of Permutation-Invariant Functions on Vectors and Tensors. ALT (2024)
Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Donghyeon Koh, Michaël Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang
DE-HNN: An effective neural model for Circuit Netlist representation. CoRR (2024)
Shayesteh Arasti, Puoya Tabaghi, Yasamin Tabatabaee, Siavash Mirarab
Optimal Tree Metric Matching Enables Phylogenomic Branch Length Estimation. RECOMB (2024)
Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Michaël Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang
DE-HNN: An effective neural model for Circuit Netlist representation. AISTATS (2024)
Puoya Tabaghi, Yusu Wang
Universal Representation of Permutation-Invariant Functions on Vectors and Tensors. CoRR (2023)
Chao Pan, Eli Chien, Puoya Tabaghi, Jianhao Peng, Olgica Milenkovic
Provably accurate and scalable linear classifiers in hyperbolic spaces. Knowl. Inf. Syst. 65 (4) (2023)
Puoya Tabaghi, Michael Khanzadeh, Yusu Wang, Siavash Mirarab
Principal Component Analysis in Space Forms. CoRR (2023)
Samantha Chen, Puoya Tabaghi, Yusu Wang
Learning Ultrametric Trees for Optimal Transport Regression. CoRR (2022)
Eli Chien, Puoya Tabaghi, Olgica Milenkovic
HyperAid: Denoising in Hyperbolic Spaces for Tree-fitting and Hierarchical Clustering. KDD (2022)
Chao Pan, Eli Chien, Puoya Tabaghi, Jianhao Peng, Olgica Milenkovic
Provably Accurate and Scalable Linear Classifiers in Hyperbolic Spaces. CoRR (2022)
Eli Chien, Puoya Tabaghi, Olgica Milenkovic
HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering. CoRR (2022)
Yueyu Jiang, Puoya Tabaghi, Siavash Mirarab
Phylogenetic Placement Problem: A Hyperbolic Embedding Approach. RECOMB-CG (2022)
Eli Chien, Chao Pan, Puoya Tabaghi, Olgica Milenkovic
Highly Scalable and Provably Accurate Classification in Poincare Balls. CoRR (2021)
Eli Chien, Chao Pan, Puoya Tabaghi, Olgica Milenkovic
Highly Scalable and Provably Accurate Classification in Poincaré Balls. ICDM (2021)
Puoya Tabaghi, Eli Chien, Chao Pan, Olgica Milenkovic
Linear Classifiers in Mixed Constant Curvature Spaces. CoRR (2021)
Puoya Tabaghi, Ivan Dokmanic
On Procrustes Analysis in Hyperbolic Space. IEEE Signal Process. Lett. 28 (2021)
Puoya Tabaghi, Ivan Dokmanic, Martin Vetterli
Kinetic Euclidean Distance Matrices. IEEE Trans. Signal Process. 68 (2020)
Puoya Tabaghi, Ivan Dokmanic
Geometry of Comparisons. CoRR (2020)
Puoya Tabaghi, Ivan Dokmanic
Hyperbolic Distance Matrices. CoRR (2020)
Puoya Tabaghi, Ivan Dokmanic
Hyperbolic Distance Matrices. KDD (2020)
Puoya Tabaghi, Ivan Dokmanic, Martin Vetterli
On the Move: Localization with Kinetic Euclidean Distance Matrices. ICASSP (2019)
Puoya Tabaghi, Maarten V. de Hoop, Ivan Dokmanic
Learning Schatten-Von Neumann Operators. CoRR (2019)
Puoya Tabaghi, Mahmood R. Azimi-Sadjadi
Class-preserving manifold learning for detection and classification. IJCNN (2015)