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ORCIDAriel Jaffe
Person information
- affiliation: Weizmann Institute of Science, Rehovot, Israe
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2020 – today
- 2023
[c8]Junchen Yang, Ofir Lindenbaum, Yuval Kluger, Ariel Jaffe:
Multi-modal differentiable unsupervised feature selection. UAI 2023: 2400-2410- [i10]Junchen Yang, Ofir Lindenbaum, Yuval Kluger
, Ariel Jaffe:
Multi-modal Differentiable Unsupervised Feature Selection. CoRR abs/2303.09381 (2023) - 2022
- [c7]Ram Dyuthi Sristi, Gal Mishne, Ariel Jaffe:
DiSC: Differential Spectral Clustering of Features. NeurIPS 2022 - [i9]Ram Dyuthi Sristi, Gal Mishne, Ariel Jaffe:
DiSC: Differential Spectral Clustering of Features. CoRR abs/2211.05314 (2022) - 2021
- [j5]Ariel Jaffe, Noah Amsel, Yariv Aizenbud, Boaz Nadler, Joseph T. Chang, Yuval Kluger:
Spectral Neighbor Joining for Reconstruction of Latent Tree Models. SIAM J. Math. Data Sci. 3(1): 113-141 (2021) - [i8]Yariv Aizenbud, Ariel Jaffe, Meng Wang, Amber Hu, Noah Amsel, Boaz Nadler, Joseph T. Chang, Yuval Kluger:
Spectral Top-Down Recovery of Latent Tree Models. CoRR abs/2102.13276 (2021) - 2020
- [j4]Ariel Jaffe, Yuval Kluger, Ofir Lindenbaum, Jonathan Patsenker, Erez Peterfreund, Stefan Steinerberger:
The Spectral Underpinning of word2vec. Frontiers Appl. Math. Stat. 6: 593406 (2020) - [j3]Ariel Jaffe, Yuval Kluger, George C. Linderman, Gal Mishne, Stefan Steinerberger:
Randomized near-neighbor graphs, giant components and applications in data science. J. Appl. Probab. 57(2): 458-476 (2020) - [i7]Ariel Jaffe, Yuval Kluger, Ofir Lindenbaum, Jonathan Patsenker, Erez Peterfreund, Stefan Steinerberger:
The Spectral Underpinning of word2vec. CoRR abs/2002.12317 (2020) - [i6]Ariel Jaffe, Noah Amsel, Boaz Nadler, Joseph T. Chang, Yuval Kluger:
Spectral neighbor joining for reconstruction of latent tree models. CoRR abs/2002.12547 (2020) - [i5]Tamir Bendory, Ariel Jaffe, William E. Leeb, Nir Sharon, Amit Singer:
Super-resolution multi-reference alignment. CoRR abs/2006.15354 (2020)
2010 – 2019
- 2018
- [j2]Ariel Jaffe, Roi Weiss, Boaz Nadler:
Newton Correction Methods for Computing Real Eigenpairs of Symmetric Tensors. SIAM J. Matrix Anal. Appl. 39(3): 1071-1094 (2018) - [c6]Ariel Jaffe, Roi Weiss, Shai Carmi, Yuval Kluger, Boaz Nadler:
Learning Binary Latent Variable Models: A Tensor Eigenpair Approach. ICML 2018: 2201-2210 - 2017
- [c5]Amit Moscovich, Ariel Jaffe, Boaz Nadler:
Minimax-optimal semi-supervised regression on unknown manifolds. AISTATS 2017: 933-942 - 2016
- [c4]Ariel Jaffe, Ethan Fetaya, Boaz Nadler, Tingting Jiang, Yuval Kluger:
Unsupervised Ensemble Learning with Dependent Classifiers. AISTATS 2016: 351-360 - [c3]Nir Nossenson, Ariel J. Jaffe:
CUDA implementation of an optimal online Gaussian-Signal-in-Gaussian-Noise detector. HPEC 2016: 1-7 - [c2]Uri Shaham, Xiuyuan Cheng, Omer Dror, Ariel Jaffe, Boaz Nadler, Joseph T. Chang, Yuval Kluger:
A Deep Learning Approach to Unsupervised Ensemble Learning. ICML 2016: 30-39 - [i4]Uri Shaham, Xiuyuan Cheng, Omer Dror, Ariel Jaffe, Boaz Nadler, Joseph T. Chang, Yuval Kluger:
A Deep Learning Approach to Unsupervised Ensemble Learning. CoRR abs/1602.02285 (2016) - [i3]Amit Moscovich, Ariel Jaffe, Boaz Nadler:
Minimax-optimal semi-supervised regression on unknown manifolds. CoRR abs/1611.02221 (2016) - 2015
- [c1]Ariel Jaffe, Boaz Nadler, Yuval Kluger:
Estimating the accuracies of multiple classifiers without labeled data. AISTATS 2015 - [i2]Ariel Jaffe, Ethan Fetaya, Boaz Nadler, Tingting Jiang, Yuval Kluger:
Unsupervised Ensemble Learning with Dependent Classifiers. CoRR abs/1510.05830 (2015) - 2014
- [j1]Ariel Jaffe, Mati Wax:
Single-Site Localization via Maximum Discrimination Multipath Fingerprinting. IEEE Trans. Signal Process. 62(7): 1718-1728 (2014) - [i1]Ariel Jaffe, Boaz Nadler, Yuval Kluger:
Estimating the Accuracies of Multiple Classifiers Without Labeled Data. CoRR abs/1407.7644 (2014)
Coauthor Index
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