Albert Gu
Albert Gu
Bestätigte E-Mail-Adresse bei stanford.edu
Titel
Zitiert von
Zitiert von
Jahr
Representation tradeoffs for hyperbolic embeddings
F Sala, C De Sa, A Gu, C Ré
International conference on machine learning, 4460-4469, 2018
1432018
Learning mixed-curvature representations in product spaces
A Gu, F Sala, B Gunel, C Ré
International Conference on Learning Representations, 2018
592018
A kernel theory of modern data augmentation
T Dao, A Gu, A Ratner, V Smith, C De Sa, C Ré
International Conference on Machine Learning, 1528-1537, 2019
502019
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
482016
Learning fast algorithms for linear transforms using butterfly factorizations
T Dao, A Gu, M Eichhorn, A Rudra, C Ré
International Conference on Machine Learning, 1517-1527, 2019
192019
Learning compressed transforms with low displacement rank
AT Thomas, A Gu, T Dao, A Rudra, C Ré
Advances in neural information processing systems 2018, 9052, 2018
182018
From trees to continuous embeddings and back: Hyperbolic hierarchical clustering
I Chami, A Gu, V Chatziafratis, C Ré
arXiv preprint arXiv:2010.00402, 2020
92020
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
72018
HiPPO: Recurrent Memory with Optimal Polynomial Projections
A Gu, T Dao, S Ermon, A Rudra, C Ré
arXiv preprint arXiv:2008.07669, 2020
62020
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
52020
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
42020
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
32020
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
K Goel, A Gu, Y Li, C Ré
arXiv preprint arXiv:2008.06775, 2020
22020
Recurrence width for structured dense matrix vector multiplication
A Gu, R Puttagunta, C Ré, A Rudra
arXiv preprint arXiv:1611.01569, 2016
22016
Sparse Recovery for Orthogonal Polynomial Transforms
A Gilbert, A Gu, C Ré, A Rudra, M Wootters
arXiv preprint arXiv:1907.08362, 2019
12019
Learning invariance with compact transforms
AT Thomas, A Gu, T Dao, A Rudra, C Ré
12018
Sprague-Grundy Values of the -Wythoff Game
A Gu
The Electronic Journal of Combinatorics 22 (2), P2. 13, 2015
2015
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