Single-Site Localization via Maximum Discrimination Multipath Fingerprinting. - Ariel Jaffe; Mati Wax (IEEE Trans. Signal Process., 2014)

Estimating the accuracies of multiple classifiers without labeled data. - Ariel Jaffe; Boaz Nadler; Yuval Kluger (AISTATS, 2015)

Unsupervised Ensemble Learning with Dependent Classifiers. - Ariel Jaffe; Ethan Fetaya; Boaz Nadler; Tingting Jiang; Yuval Kluger (AISTATS, 2016)

CUDA implementation of an optimal online Gaussian-Signal-in-Gaussian-Noise detector. - Nir Nossenson; Ariel J. Jaffe (HPEC, 2016)

A Deep Learning Approach to Unsupervised Ensemble Learning. - Uri Shaham 001; Xiuyuan Cheng; Omer Dror; Ariel Jaffe; Boaz Nadler; Joseph T. Chang; Yuval Kluger (ICML, 2016)

Minimax-optimal semi-supervised regression on unknown manifolds. - Amit Moscovich; Ariel Jaffe; Boaz Nadler (AISTATS, 2017)

Learning Binary Latent Variable Models: A Tensor Eigenpair Approach. - Ariel Jaffe; Roi Weiss; Shai Carmi; Yuval Kluger; Boaz Nadler (ICML, 2018)

Newton Correction Methods for Computing Real Eigenpairs of Symmetric Tensors. - Ariel Jaffe; Roi Weiss; Boaz Nadler (SIAM J. Matrix Anal. Appl., 2018)

Spectral neighbor joining for reconstruction of latent tree models. - Ariel Jaffe; Noah Amsel; Boaz Nadler; Joseph T. Chang; Yuval Kluger (CoRR, 2020)

Super-resolution multi-reference alignment. - Tamir Bendory; Ariel Jaffe; William E. Leeb; Nir Sharon; Amit Singer (CoRR, 2020)

The Spectral Underpinning of word2vec. - Ariel Jaffe; Yuval Kluger; Ofir Lindenbaum; Jonathan Patsenker; Erez Peterfreund; Stefan Steinerberger (Frontiers Appl. Math. Stat., 2020)

Randomized near-neighbor graphs, giant components and applications in data science. - Ariel Jaffe; Yuval Kluger; George C. Linderman; Gal Mishne; Stefan Steinerberger (J. Appl. Probab., 2020)

Spectral Top-Down Recovery of Latent Tree Models. - Yariv Aizenbud; Ariel Jaffe; Meng Wang; Amber Hu; Noah Amsel; Boaz Nadler; Joseph T. Chang; Yuval Kluger (CoRR, 2021)

Spectral Neighbor Joining for Reconstruction of Latent Tree Models. - Ariel Jaffe; Noah Amsel; Yariv Aizenbud; Boaz Nadler; Joseph T. Chang; Yuval Kluger (SIAM J. Math. Data Sci., 2021)

DiSC: Differential Spectral Clustering of Features. - Ram Dyuthi Sristi; Gal Mishne; Ariel Jaffe (NeurIPS, 2022)

Multi-modal differentiable unsupervised feature selection. - Junchen Yang; Ofir Lindenbaum; Yuval Kluger; Ariel Jaffe (UAI, 2023)

Spectral Self-supervised Feature Selection. - Daniel Segal; Ofir Lindenbaum; Ariel Jaffe (Trans. Mach. Learn. Res., 2024)