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Sam Buchanan
Sam Buchanan
Verified email at ttic.edu - Homepage
Title
Cited by
Cited by
Year
Deep networks and the multiple manifold problem
S Buchanan, D Gilboa, J Wright
ICLR 2021, 2021
432021
Efficient dictionary learning with gradient descent
D Gilboa, S Buchanan, J Wright
International Conference on Machine Learning, 2252-2259, 2019
372019
White-box transformers via sparse rate reduction
Y Yu, S Buchanan, D Pai, T Chu, Z Wu, S Tong, B Haeffele, Y Ma
Advances in Neural Information Processing Systems 36, 2024
192024
Deep networks provably classify data on curves
T Wang, S Buchanan, D Gilboa, J Wright
Advances in neural information processing systems 34, 28940-28953, 2021
122021
Emergence of segmentation with minimalistic white-box transformers
Y Yu, T Chu, S Tong, Z Wu, D Pai, S Buchanan, Y Ma
CPAL 2024, 2024
102024
Efficient model-free learning to overcome hardware nonidealities in analog-to-information converters
S Buchanan, T Haque, P Kinget, J Wright
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
72018
Canonical factors for hybrid neural fields
B Yi, W Zeng, S Buchanan, Y Ma
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
62023
Resource-Efficient invariant networks: Exponential gains by unrolled optimization
S Buchanan, J Yan, E Haber, J Wright
arXiv preprint arXiv:2203.05006, 2022
52022
What's in a Prior? Learned Proximal Networks for Inverse Problems
Z Fang, S Buchanan, J Sulam
ICLR 2024, 2024
12024
White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?
Y Yu, S Buchanan, D Pai, T Chu, Z Wu, S Tong, H Bai, Y Zhai, ...
arXiv preprint arXiv:2311.13110, 2023
12023
Design and fpga implementation of a folded architecture echo state network processor with online training
S Buchanan, L Liu
12016
Masked Completion via Structured Diffusion with White-Box Transformers
D Pai, Z Wu, S Buchanan, T Chu, Y Yu, Y Ma
ICLR 2024, 2024
2024
Deep Networks Through the Lens of Low-Dimensional Structure: Towards Mathematical and Computational Principles for Nonlinear Data
S Buchanan
Columbia University, 2022
2022
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Articles 1–13