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Tabaghi, Puoya
26  Ergebnisse:
Personensuche X
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1

Optimal Tree Metric Matching Enables Phylogenomic Branch Le..:

, In: Lecture Notes in Computer Science; Research in Computational Molecular Biology,
Arasti, Shayesteh ; Tabaghi, Puoya ; Tabatabaee, Yasamin. - p. 462-465 , 2024
Link: https://doi.org/10.1007/..
 
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2

Provably accurate and scalable linear classifiers in hyperb..:

Pan, Chao ; Chien, Eli ; Tabaghi, Puoya..
Knowledge and Information Systems.  65 (2023)  4 - p. 1817-1850 , 2023
Link: https://doi.org/10.1007/..
 
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3

HyperAid : Denoising in Hyperbolic Spaces for Tree-fitti..:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Chien, Eli ; Tabaghi, Puoya ; Milenkovic, Olgica - p. 201-211 , 2022
Link: https://dl.acm.org/doi/1..
 
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4

Learning Hyperbolic Embedding for Phylogenetic Tree Placeme..:

Jiang, Yueyu ; Tabaghi, Puoya ; Mirarab, Siavash
Biology.  11 (2022)  9 - p. 1256 , 2022
Link: https://doi.org/10.3390/..
 
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5

Phylogenetic Placement Problem: A Hyperbolic Embedding Appr..:

, In: Comparative Genomics; Lecture Notes in Computer Science,
Jiang, Yueyu ; Tabaghi, Puoya ; Mirarab, Siavash - p. 68-85 , 2022
Link: https://doi.org/10.1007/..
 
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6

On Procrustes Analysis in Hyperbolic Space:

Tabaghi, Puoya ; Dokmanic, Ivan
IEEE Signal Processing Letters.  28 (2021)  - p. 1120-1124 , 2021
Link: https://doi.org/10.1109/..
 
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7

Hyperbolic Distance Matrices:

, In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,
Tabaghi, Puoya ; Dokmanić, Ivan - p. 1728-1738 , 2020
Link: https://dl.acm.org/doi/1..
 
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8

Kinetic Euclidean Distance Matrices:

Tabaghi, Puoya ; Dokmanic, Ivan ; Vetterli, Martin
IEEE Transactions on Signal Processing.  68 (2020)  - p. 452-465 , 2020
Link: https://doi.org/10.1109/..
 
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9

Principal Component Analysis in Space Forms:

Tabaghi, Puoya ; Khanzadeh, Michael ; Wang, Yusu.
http://arxiv.org/abs/2301.02750.  , 2023
Link: http://arxiv.org/abs/230..
 
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10

Universal Representation of Permutation-Invariant Functions..:

Tabaghi, Puoya ; Wang, Yusu
http://arxiv.org/abs/2310.13829.  , 2023
Link: http://arxiv.org/abs/231..
 
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11

Provably Accurate and Scalable Linear Classifiers in Hyperb..:

Pan, Chao ; Chien, Eli ; Tabaghi, Puoya..
http://arxiv.org/abs/2203.03730.  , 2022
Link: http://arxiv.org/abs/220..
 
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12

Learning Ultrametric Trees for Optimal Transport Regression:

Chen, Samantha ; Tabaghi, Puoya ; Wang, Yusu
http://arxiv.org/abs/2210.12288.  , 2022
Link: http://arxiv.org/abs/221..
 
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13

HyperAid: Denoising in hyperbolic spaces for tree-fitting a..:

Chien, Eli ; Tabaghi, Puoya ; Milenkovic, Olgica
http://arxiv.org/abs/2205.09721.  , 2022
Link: http://arxiv.org/abs/220..
 
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14

Learning Hyperbolic Embedding for Phylogenetic Tree Placeme..:

Jiang, Yueyu ; Tabaghi, Puoya ; Mirarab, Siavash
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9495508/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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15

Linear Classifiers in Product Space Forms:

Tabaghi, Puoya ; Pan, Chao ; Chien, Eli..
http://arxiv.org/abs/2102.10204.  , 2021
Link: http://arxiv.org/abs/210..
 
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