Publications

2021
Jun Zhao, Jaffe, Ariel , Li, Henry , Lindenbaum, Ofir , Sefik, Esen , Jackson, Ruaidhr{\'ı , Cheng, Xiuyuan , Flavell, Richard A, and Kluger, Yuval . 2021. “Detection Of Differentially Abundant Cell Subpopulations In Scrna-Seq Data”. Proceedings Of The National Academy Of Sciences, 118, 22.
Ariel Jaffe, Amsel, Noah , Aizenbud, Yariv , Nadler, Boaz , Chang, Joseph T, and Kluger, Yuval . 2021. “Spectral Neighbor Joining For Reconstruction Of Latent Tree Models”. Siam Journal On Mathematics Of Data Science, 3, 1, Pp. 113–141.
Yariv Aizenbud, Jaffe, Ariel , Wang, Meng , Hu, Amber , Amsel, Noah , Nadler, Boaz , Chang, Joseph T, and Kluger, Yuval . 2021. “Spectral Top-Down Recovery Of Latent Tree Models”. Arxiv Preprint Arxiv:2102.13276.
Tamir Bendory, Jaffe, Ariel , Leeb, William , Sharon, Nir , and Singer, Amit . 2021. “Super-Resolution Multi-Reference Alignment”. Information And Inference: A Journal Of The Ima, Pp. 1–23.
2020
Dan M Kluger, Aizenbud, Yariv , Jaffe, Ariel , Parisi, Fabio , Aizenbud, Lilach , Minsky-Fenick, Eyal , Kluger, Jonathan M, Farhadian, Shelli , Kluger, Harriet M, and Kluger, Yuval . 2020. “Impact Of Healthcare Worker Shift Scheduling On Workforce Preservation During The Covid-19 Pandemic”. Infection Control & Hospital Epidemiology, 41, 12, Pp. 1443–1445.
Ariel Jaffe, Kluger, Yuval , Linderman, George C, Mishne, Gal , and Steinerberger, Stefan . 2020. “Randomized Near-Neighbor Graphs, Giant Components And Applications In Data Science”. Journal Of Applied Probability, 57, 2, Pp. 458–476.
Ariel Jaffe, Kluger, Yuval , Lindenbaum, Ofir , Patsenker, Jonathan , Peterfreund, Erez , and Steinerberger, Stefan . 2020. “The Spectral Underpinning Of Word2Vec”. Frontiers In Applied Mathematics And Statistics, 6, Pp. 64–73.
2018
Ben Leshem, Raz, Oren , Jaffe, Ariel , and Nadler, Boaz . 2018. “The Discrete Sign Problem: Uniqueness, Recovery Algorithms And Phase Retrieval Applications”. Applied And Computational Harmonic Analysis, 45, 3, Pp. 463–485.
Ariel Jaffe, Weiss, Roi , Nadler, Boaz , Carmi, Shai , and Kluger, Yuval . 2018. “Learning Binary Latent Variable Models: A Tensor Eigenpair Approach”. In International Conference On Machine Learning, Pp. 2196–2205. PMLR.
Ariel Jaffe, Weiss, Roi , and Nadler, Boaz . 2018. “Newton Correction Methods For Computing Real Eigenpairs Of Symmetric Tensors”. Siam Journal On Matrix Analysis And Applications, 39, 3, Pp. 1071–1094.
2017
Amit Moscovich, Jaffe, Ariel , and Boaz, Nadler . 2017. “Minimax-Optimal Semi-Supervised Regression On Unknown Manifolds”. In Artificial Intelligence And Statistics, Pp. 933–942. PMLR.
2016
Nir Nossenson and Jaffe, Ariel . 2016. “Cuda Implementation Of An Optimal Online Gaussian-Signal-In-Gaussian-Noise Detector”. In 2016 Ieee High Performance Extreme Computing Conference (Hpec), Pp. 1–7. IEEE.
Uri Shaham, Cheng, Xiuyuan , Dror, Omer , Jaffe, Ariel , Nadler, Boaz , Chang, Joseph , and Kluger, Yuval . 2016. “A Deep Learning Approach To Unsupervised Ensemble Learning”. In International Conference On Machine Learning, Pp. 30–39. PMLR.
Ariel Jaffe, Fetaya, Ethan , Nadler, Boaz , Jiang, Tingting , and Kluger, Yuval . 2016. “Unsupervised Ensemble Learning With Dependent Classifiers”. In Artificial Intelligence And Statistics, Pp. 351–360. PMLR.
2015
Ariel Jaffe, Nadler, Boaz , and Kluger, Yuval . 2015. “Estimating The Accuracies Of Multiple Classifiers Without Labeled Data”. In Artificial Intelligence And Statistics, Pp. 407–415. PMLR.
2014
Ariel Jaffe and Wax, Mati . 2014. “Single-Site Localization Via Maximum Discrimination Multipath Fingerprinting”. Ieee Transactions On Signal Processing, 62, 7, Pp. 1718–1728.