Puoya Tabaghi

25 papers A* 4A 1B 3Misc 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2024 A conf
DE-HNN: An effective neural model for Circuit Netlist representation.
AISTATS
Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Michaël Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang
2024 J jnl
DE-HNN: An effective neural model for Circuit Netlist representation.
CoRR
Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Donghyeon Koh, Michaël Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang
2024 A* conf
Learning Ultrametric Trees for Optimal Transport Regression.
AAAI
Samantha Chen, Puoya Tabaghi, Yusu Wang
2024 B conf
Optimal Tree Metric Matching Enables Phylogenomic Branch Length Estimation.
RECOMB
Shayesteh Arasti, Puoya Tabaghi, Yasamin Tabatabaee, Siavash Mirarab
2024 J jnl
Principal Component Analysis in Space Forms.
IEEE Trans. Signal Process.
Puoya Tabaghi, Michael Khanzadeh, Yusu Wang, Siavash Mirarab
2024 B conf
Universal Representation of Permutation-Invariant Functions on Vectors and Tensors.
ALT
Puoya Tabaghi, Yusu Wang
2023 J jnl
Principal Component Analysis in Space Forms.
CoRR
Puoya Tabaghi, Michael Khanzadeh, Yusu Wang, Siavash Mirarab
2023 J jnl
Provably accurate and scalable linear classifiers in hyperbolic spaces.
Knowl. Inf. Syst.
Chao Pan, Eli Chien, Puoya Tabaghi, Jianhao Peng, Olgica Milenkovic
2023 J jnl
Universal Representation of Permutation-Invariant Functions on Vectors and Tensors.
CoRR
Puoya Tabaghi, Yusu Wang
2022 A* conf
HyperAid: Denoising in Hyperbolic Spaces for Tree-fitting and Hierarchical Clustering.
KDD
Eli Chien, Puoya Tabaghi, Olgica Milenkovic
2022 J jnl
HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering.
CoRR
Eli Chien, Puoya Tabaghi, Olgica Milenkovic
2022 J jnl
Learning Ultrametric Trees for Optimal Transport Regression.
CoRR
Samantha Chen, Puoya Tabaghi, Yusu Wang
2022 — conf
Phylogenetic Placement Problem: A Hyperbolic Embedding Approach.
RECOMB-CG
Yueyu Jiang, Puoya Tabaghi, Siavash Mirarab
2022 J jnl
Provably Accurate and Scalable Linear Classifiers in Hyperbolic Spaces.
CoRR
Chao Pan, Eli Chien, Puoya Tabaghi, Jianhao Peng, Olgica Milenkovic
2021 J jnl
Highly Scalable and Provably Accurate Classification in Poincare Balls.
CoRR
Eli Chien, Chao Pan, Puoya Tabaghi, Olgica Milenkovic
2021 A* conf
Highly Scalable and Provably Accurate Classification in Poincaré Balls.
ICDM
Eli Chien, Chao Pan, Puoya Tabaghi, Olgica Milenkovic
2021 J jnl
Linear Classifiers in Mixed Constant Curvature Spaces.
CoRR
Puoya Tabaghi, Eli Chien, Chao Pan, Olgica Milenkovic
2021 J jnl
On Procrustes Analysis in Hyperbolic Space.
IEEE Signal Process. Lett.
Puoya Tabaghi, Ivan Dokmanic
2020 J jnl
Geometry of Comparisons.
CoRR
Puoya Tabaghi, Ivan Dokmanic
2020 A* conf
Hyperbolic Distance Matrices.
KDD
Puoya Tabaghi, Ivan Dokmanic
2020 J jnl
Hyperbolic Distance Matrices.
CoRR
Puoya Tabaghi, Ivan Dokmanic
2020 J jnl
Kinetic Euclidean Distance Matrices.
IEEE Trans. Signal Process.
Puoya Tabaghi, Ivan Dokmanic, Martin Vetterli
2019 J jnl
Learning Schatten-Von Neumann Operators.
CoRR
Puoya Tabaghi, Maarten V. de Hoop, Ivan Dokmanic
2019 Misc conf
On the Move: Localization with Kinetic Euclidean Distance Matrices.
ICASSP
Puoya Tabaghi, Ivan Dokmanic, Martin Vetterli
2015 B conf
Class-preserving manifold learning for detection and classification.
IJCNN
Puoya Tabaghi, Mahmood R. Azimi-Sadjadi