Puoya Tabaghi

According to our database, Puoya Tabaghi authored at least 18 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

CoRR, 2024

Optimal Tree Metric Matching Enables Phylogenomic Branch Length Estimation.

Shayesteh Arasti, Puoya Tabaghi, Yasamin Tabatabaee, Siavash Mirarab

Proceedings of the Research in Computational Molecular Biology, 2024

Universal Representation of Permutation-Invariant Functions on Vectors and Tensors.

Puoya Tabaghi, Yusu Wang

Proceedings of the International Conference on Algorithmic Learning Theory, 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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Learning Ultrametric Trees for Optimal Transport Regression.

Samantha Chen, Puoya Tabaghi, Yusu Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Provably accurate and scalable linear classifiers in hyperbolic spaces.

Chao Pan, Eli Chien, Puoya Tabaghi, Jianhao Peng, Olgica Milenkovic

Knowl. Inf. Syst., April, 2023

Principal Component Analysis in Space Forms.

Puoya Tabaghi, Michael Khanzadeh, Yusu Wang, Siavash Mirarab

CoRR, 2023

2022

Phylogenetic Placement Problem: A Hyperbolic Embedding Approach.

Yueyu Jiang, Puoya Tabaghi, Siavash Mirarab

Proceedings of the Comparative Genomics - 19th International Conference, 2022

HyperAid: Denoising in Hyperbolic Spaces for Tree-fitting and Hierarchical Clustering.

Eli Chien, Puoya Tabaghi, Olgica Milenkovic

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

On Procrustes Analysis in Hyperbolic Space.

Puoya Tabaghi, Ivan Dokmanic

IEEE Signal Process. Lett., 2021

Linear Classifiers in Mixed Constant Curvature Spaces.

Puoya Tabaghi, Eli Chien, Chao Pan, Olgica Milenkovic

CoRR, 2021

Highly Scalable and Provably Accurate Classification in Poincaré Balls.

Eli Chien, Chao Pan, Puoya Tabaghi, Olgica Milenkovic

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Kinetic Euclidean Distance Matrices.

Puoya Tabaghi, Ivan Dokmanic, Martin Vetterli

IEEE Trans. Signal Process., 2020

Geometry of Comparisons.

Puoya Tabaghi, Ivan Dokmanic

CoRR, 2020

Hyperbolic Distance Matrices.

Puoya Tabaghi, Ivan Dokmanic

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Learning Schatten-Von Neumann Operators.

Puoya Tabaghi, Maarten V. de Hoop, Ivan Dokmanic

CoRR, 2019

On the Move: Localization with Kinetic Euclidean Distance Matrices.

Puoya Tabaghi, Ivan Dokmanic, Martin Vetterli

Proceedings of the IEEE International Conference on Acoustics, 2019

2015

Class-preserving manifold learning for detection and classification.

Puoya Tabaghi, Mahmood R. Azimi-Sadjadi

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015