Representation tradeoffs for hyperbolic embeddings C De Sa, A Gu, C Ré, F Sala
Proceedings of machine learning research 80, 4460, 2018
121 2018 Learning mixed-curvature representations in product spaces A Gu, F Sala, B Gunel, C Ré
International Conference on Learning Representations, 2018
45 2018 The power of deferral: maintaining a constant-competitive steiner tree online A Gu, A Gupta, A Kumar
SIAM Journal on Computing 45 (1), 1-28, 2016
43 2016 A kernel theory of modern data augmentation T Dao, A Gu, AJ Ratner, V Smith, C De Sa, C Ré
Proceedings of machine learning research 97, 1528, 2019
35 2019 Learning compressed transforms with low displacement rank A Thomas, A Gu, T Dao, A Rudra, C Ré
Advances in neural information processing systems, 9052-9060, 2018
15 2018 Learning fast algorithms for linear transforms using butterfly factorizations T Dao, A Gu, M Eichhorn, A Rudra, C Ré
Proceedings of machine learning research 97, 1517, 2019
11 2019 Christopher Ré. A kernel theory of modern data augmentation T Dao, A Gu, AJ Ratner, V Smith, C De Sa
arXiv preprint arXiv:1803.06084, 2018
8 2018 A two-pronged progress in structured dense matrix vector multiplication C De Sa, A Cu, R Puttagunta, C Ré, A Rudra
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete …, 2018
6 2018 Improving the gating mechanism of recurrent neural networks A Gu, C Gulcehre, T Paine, M Hoffman, R Pascanu
International Conference on Machine Learning, 3800-3809, 2020
3 2020 From trees to continuous embeddings and back: Hyperbolic hierarchical clustering I Chami, A Gu, V Chatziafratis, C Ré
arXiv preprint arXiv:2010.00402, 2020
3 2020 Kaleidoscope: An efficient, learnable representation for all structured linear maps T Dao, NS Sohoni, A Gu, M Eichhorn, A Blonder, M Leszczynski, A Rudra, ...
arXiv preprint arXiv:2012.14966, 2020
2 2020 No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems NS Sohoni, JA Dunnmon, G Angus, A Gu, C Ré
arXiv preprint arXiv:2011.12945, 2020
2 2020 Recurrence width for structured dense matrix vector multiplication A Gu, R Puttagunta, C Ré, A Rudra
arXiv preprint arXiv:1611.01569, 2016
2 2016 HiPPO: Recurrent Memory with Optimal Polynomial Projections A Gu, T Dao, S Ermon, A Rudra, C Ré
arXiv preprint arXiv:2008.07669, 2020
1 2020 Model Patching: Closing the Subgroup Performance Gap with Data Augmentation K Goel, A Gu, Y Li, C Ré
arXiv preprint arXiv:2008.06775, 2020
1 2020 Sparse Recovery for Orthogonal Polynomial Transforms A Gilbert, A Gu, C Re, A Rudra, M Wootters
arXiv preprint arXiv:1907.08362, 2019
1 2019 Learning invariance with compact transforms AT Thomas, A Gu, T Dao, A Rudra, C Ré
1 2018 Sprague-Grundy Values of the A Gu
The Electronic Journal of Combinatorics 22 (2), P2. 13, 2015
2015 