Standout Papers

Tensor decompositions for learning latent variable models 2014 2026 2018 2022 294
  1. Tensor decompositions for learning latent variable models (2014)
    Animashree Anandkumar, Rong Ge et al. Journal of Machine Learning Research

Immediate Impact

3 from Science/Nature 58 standout
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Citing Papers

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2 intermediate papers

Works of Rong Ge being referenced

Tensor decompositions for learning latent variable models
2014 Standout

Author Peers

Author Last Decade Papers Cites
Rong Ge 265 353 310 284 46 988
Richard Vuduc 172 497 587 100 52 927
Shoaib Kamil 165 347 504 132 44 774
U Kang 449 163 42 213 85 1.0k
Kayvon Fatahalian 140 293 372 55 39 1.0k
Tianqi Chen 217 78 95 139 37 754
Rainer Gemulla 448 299 33 351 42 824
George Bosilca 84 677 540 183 64 887
Francesco Romani 178 71 36 71 72 787
Jie Xu 538 166 248 58 26 1.1k
Nadathur Satish 228 494 373 217 21 836

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