Tal Shnitzer - researchr alias

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Viewing Publication 1 - 8 from 8

2023

Few-Sample Feature Selection via Feature Manifold LearningDavid Cohen, Tal Shnitzer, Yuval Kluger, Ronen Talmon. icml 2023: 6296-6319 [doi]

2022

Log-Euclidean Signatures for Intrinsic Distances Between Unaligned DatasetsTal Shnitzer, Mikhail Yurochkin, Kristjan H. Greenewald, Justin M. Solomon. icml 2022: 20106-20124 [doi]

2021

Graph of graphs analysis for multiplexed data with application to imaging mass cytometryYa-Wei Eileen Lin, Tal Shnitzer, Ronen Talmon, Franz Villarroel-Espindola, Shruti Desai, Kurt A. Schalper, Yuval Kluger. ploscb, 17(3), 2021. [doi]

2020

Diffusion Maps Kalman Filter for a Class of Systems With Gradient FlowsTal Shnitzer, Ronen Talmon, Jean-Jacques E. Slotine. tsp, 68:2739-2753, 2020. [doi]

2019

Diffusion Maps Particle FilterLukas Forster, Alexander Schmidt, Walter Kellermann, Tal Shnitzer, Ronen Talmon. eusipco 2019: 1-5 [doi]

Recovering Hidden Components in Multimodal Data with Composite Diffusion OperatorsTal Shnitzer, Mirela Ben-Chen, Leonidas J. Guibas, Ronen Talmon, Hau-Tieng Wu. simods, 1(3):588-616, 2019. [doi]

2017

Alternating diffusion maps for dementia severity assessmentTal Shnitzer, Maya Rapaport, Noga Cohen, Natalya Yarovinsky, Ronen Talmon, Judith Aharon-Peretz. icassp 2017: 831-835 [doi]

Manifold Learning With Contracting Observers for Data-Driven Time-Series AnalysisTal Shnitzer, Ronen Talmon, Jean-Jacques E. Slotine. tsp, 65(4):904-918, 2017. [doi]

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