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

2 from Science/Nature 62 standout
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Works of Matus Telgarsky being referenced

Tensor decompositions for learning latent variable models
2014 Standout

Author Peers

Author Last Decade Papers Cites
Matus Telgarsky 172 34 97 167 13 369
Madeleine Udell 100 60 114 73 28 367
Tong Zhang 40 26 91 228 20 401
Nick Vannieuwenhoven 41 17 128 272 28 344
Raghu Meka 105 92 177 25 25 332
Shuyang Ling 41 63 189 32 14 310
Nico Vervliet 57 21 103 229 24 309
Ignat Domanov 47 10 112 282 20 356
Jean Barbier 113 24 99 13 28 375
Yannis Sismanis 190 99 45 26 11 351
Berkant Savas 44 49 121 223 12 326

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