Puoya Tabaghi

Orcid: 0000-0002-1914-5950

According to our database1, Puoya Tabaghi authored at least 15 papers between 2015 and 2024.

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Bibliography

2024
Learning Ultrametric Trees for Optimal Transport Regression.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Provably accurate and scalable linear classifiers in hyperbolic spaces.
Knowl. Inf. Syst., April, 2023

Universal Representation of Permutation-Invariant Functions on Vectors and Tensors.
CoRR, 2023

Principal Component Analysis in Space Forms.
CoRR, 2023

2022
Phylogenetic Placement Problem: A Hyperbolic Embedding Approach.
Proceedings of the Comparative Genomics - 19th International Conference, 2022

HyperAid: Denoising in Hyperbolic Spaces for Tree-fitting and Hierarchical Clustering.
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.
IEEE Signal Process. Lett., 2021

Linear Classifiers in Mixed Constant Curvature Spaces.
CoRR, 2021

Highly Scalable and Provably Accurate Classification in Poincaré Balls.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
Kinetic Euclidean Distance Matrices.
IEEE Trans. Signal Process., 2020

Geometry of Comparisons.
CoRR, 2020

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

2019
Learning Schatten-Von Neumann Operators.
CoRR, 2019

On the Move: Localization with Kinetic Euclidean Distance Matrices.
Proceedings of the IEEE International Conference on Acoustics, 2019

2015
Class-preserving manifold learning for detection and classification.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015


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