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Ariel Jaffe

Observed names: Ariel J. Jaffe, Jaffe, Ariel
ORCID: 0000-0001-7637-7128
Observed ORCID: 0000-0001-7637-7128
OpenAlex ID: A5102737103
Detection of differentially abundant cell subpopulations in scRNA-seq data
2021 · Jun Zhao, Ariel Jaffe, et al. · Proceedings of the National Academy of Sciences · 152
Diabetes medications and risk of HCC
2022 · Maria Corina Plaz Torres, Ariel Jaffe, et al. · Hepatology · 86
Single-Site Localization via Maximum Discrimination Multipath Fingerprinting
2014 · Ariel Jaffe, Mati Wax · IEEE Transactions on Signal Processing · 55
Impact of healthcare worker shift scheduling on workforce preservation during the COVID-19 pandemic
2020 · Dan M. Kluger, Yariv Aizenbud, et al. · Infection Control and Hospital Epidemiology · 47
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Estimating the Accuracies of Multiple Classifiers Without Labeled Data
2014 · Jaffe, Ariel, Nadler, Boaz, et al. · arXiv (Cornell University) · 34
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Newton Correction Methods for Computing Real Eigenpairs of Symmetric Tensors
2018 · Ariel Jaffe, Roi Weiss, et al. · SIAM Journal on Matrix Analysis and Applications · 30
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A Deep Learning Approach to Unsupervised Ensemble Learning
2016 · Shaham, Uri, Cheng, Xiuyuan, et al. · arXiv (Cornell University) · 27
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Minimax-optimal semi-supervised regression on unknown manifolds
2016 · Moscovich, Amit, Jaffe, Ariel, et al. · arXiv (Cornell University) · 19
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Super-resolution multi-reference alignment
2021 · Tamir Bendory, Ariel Jaffe, et al. · Information and Inference A Journal of the IMA · 14
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The discrete sign problem: Uniqueness, recovery algorithms and phase retrieval applications
2017 · Ben Leshem, Oren Raz, et al. · Applied and Computational Harmonic Analysis · 12
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The Spectral Underpinning of word2vec
2020 · Ariel Jaffe, Yuval Kluger, et al. · Frontiers in Applied Mathematics and Statistics · 9
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Learning Binary Latent Variable Models: A Tensor Eigenpair Approach
2018 · Jaffe, Ariel, Weiss, Roi, et al. · arXiv (Cornell University) · 9
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Detection of differentially abundant cell subpopulations discriminates biological states in scRNA-seq data
2019 · Jun Zhao, Ariel Jaffe, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 8
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Randomized near-neighbor graphs, giant components and applications in data science
2020 · Ariel Jaffe, Yuval Kluger, et al. · Journal of Applied Probability · 5
Unsupervised Ensemble Learning with Dependent Classifiers
2015 · Jaffe, Ariel, Fetaya, Ethan, et al. · arXiv (Cornell University) · 5
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Spectral Neighbor Joining for Reconstruction of Latent Tree Models
2021 · Ariel Jaffe, Noah Amsel, et al. · SIAM Journal on Mathematics of Data Science · 3
SDSR: A Spectral Divide-and-Conquer Approach for Species Tree Reconstruction
2026 · Reshef, Ortal, Glassman, Ofer, et al. · arXiv (Cornell University)
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SpARCD: A Spectral Graph Framework for Revealing Differential Functional Connectivity in fMRI Data
2026 · Yoffe, Shira, Ben-Zion, Ziv, et al. · arXiv (Cornell University)
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DiCoLo: Integration-free and cluster-free detection of localized differential gene co-expression in single-cell data
2025 · Ruiqi Li, Junchen Yang, et al. · bioRxiv (Cold Spring Harbor Laboratory)
Spectral Self-supervised Feature Selection
2024 · Segal, Daniel, Lindenbaum, Ofir, et al. · arXiv (Cornell University)
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Spectral Graph Filtering for Modality-Specific Representation Learning
2024 · Yoffe, Shira, Moscovich, Amit, et al. · arXiv (Cornell University)
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Spectral top-down recovery of latent tree models
2023 · Yariv Aizenbud, Ariel Jaffe, et al. · Information and Inference A Journal of the IMA
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Weakly Supervised Indoor Localization via Manifold Matching
2022 · Peterfreund, Erez, Kevrekidis, Ioannis G., et al. · arXiv (Cornell University)
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CUDA implementation of an optimal online Gaussian-Signal-in-Gaussian-Noise detector
2016 · Nir Nossenson, Ariel J. Jaffe · IEEE High Performance Extreme Computing Conference
Works count: 24
Citation count: 515
H-index: 10
I10-index: 10
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