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Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps

Jan 05, 2021
Tri Dao, Nimit S. Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré

* International Conference on Learning Representations (ICLR) 2020 spotlight 

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HiPPO: Recurrent Memory with Optimal Polynomial Projections

Aug 17, 2020
Albert Gu, Tri Dao, Stefano Ermon, Atri Rudra, Christopher Re

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Approximating the Permanent by Sampling from Adaptive Partitions

Nov 26, 2019
Jonathan Kuck, Tri Dao, Hamid Rezatofighi, Ashish Sabharwal, Stefano Ermon

* 19 pages 

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On the Downstream Performance of Compressed Word Embeddings

Sep 03, 2019
Avner May, Jian Zhang, Tri Dao, Christopher Ré

* NeurIPS 2019 (Conference on Neural Information Processing Systems) 

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Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations

Mar 14, 2019
Tri Dao, Albert Gu, Matthew Eichhorn, Atri Rudra, Christopher Ré

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Low-Precision Random Fourier Features for Memory-Constrained Kernel Approximation

Oct 31, 2018
Jian Zhang, Avner May, Tri Dao, Christopher Ré

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A Kernel Theory of Modern Data Augmentation

Mar 16, 2018
Tri Dao, Albert Gu, Alexander J. Ratner, Virginia Smith, Christopher De Sa, Christopher Ré

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Gaussian Quadrature for Kernel Features

Jan 31, 2018
Tri Dao, Christopher De Sa, Christopher Ré

* Neural Information Processing Systems (NIPS) 2017 

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