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2020 – today
- 2024
[c8]Zhenghan Fang, Sam Buchanan, Jeremias Sulam:
What's in a Prior? Learned Proximal Networks for Inverse Problems. ICLR 2024- [c7]Druv Pai, Sam Buchanan, Ziyang Wu, Yaodong Yu, Yi Ma:
Masked Completion via Structured Diffusion with White-Box Transformers. ICLR 2024 - [i9]Druv Pai, Ziyang Wu, Sam Buchanan, Yaodong Yu, Yi Ma:
Masked Completion via Structured Diffusion with White-Box Transformers. CoRR abs/2404.02446 (2024) - 2023
- [c6]Brent Yi, Weijia Zeng, Sam Buchanan, Yi Ma:
Canonical Factors for Hybrid Neural Fields. ICCV 2023: 3391-3403 - [c5]Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin D. Haeffele, Yi Ma:
White-Box Transformers via Sparse Rate Reduction. NeurIPS 2023 - [i8]Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin D. Haeffele, Yi Ma:
White-Box Transformers via Sparse Rate Reduction. CoRR abs/2306.01129 (2023) - [i7]Brent Yi, Weijia Zeng, Sam Buchanan, Yi Ma:
Canonical Factors for Hybrid Neural Fields. CoRR abs/2308.15461 (2023) - [i6]Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma:
Emergence of Segmentation with Minimalistic White-Box Transformers. CoRR abs/2308.16271 (2023) - [i5]Zhenghan Fang, Sam Buchanan, Jeremias Sulam:
What's in a Prior? Learned Proximal Networks for Inverse Problems. CoRR abs/2310.14344 (2023) - [i4]Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Hao Bai, Yuexiang Zhai, Benjamin D. Haeffele, Yi Ma:
White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is? CoRR abs/2311.13110 (2023) - 2022
- [b1]Sam Buchanan:
Deep Networks Through the Lens of Low-Dimensional Structure: Towards Mathematical and Computational Principles for Nonlinear Data. Columbia University, USA, 2022 - [i3]Sam Buchanan, Jingkai Yan, Ellie Haber, John Wright:
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization. CoRR abs/2203.05006 (2022) - 2021
- [c4]Sam Buchanan, Dar Gilboa, John Wright:
Deep Networks and the Multiple Manifold Problem. ICLR 2021 - [c3]Tingran Wang, Sam Buchanan, Dar Gilboa, John Wright:
Deep Networks Provably Classify Data on Curves. NeurIPS 2021: 28940-28953 - [i2]Tingran Wang, Sam Buchanan, Dar Gilboa, John Wright:
Deep Networks Provably Classify Data on Curves. CoRR abs/2107.14324 (2021) - 2020
- [i1]Sam Buchanan, Dar Gilboa, John Wright
:
Deep Networks and the Multiple Manifold Problem. CoRR abs/2008.11245 (2020)
2010 – 2019
- 2019
- [c2]Dar Gilboa, Sam Buchanan, John Wright:
Efficient Dictionary Learning with Gradient Descent. ICML 2019: 2252-2259 - 2018
- [c1]Sam Buchanan, Tanbir Haque, Peter R. Kinget, John Wright:
Efficient Model-Free Learning to Overcome Hardware Nonidealities in Analog-to-Information Converters. ICASSP 2018: 3574-3578
Coauthor Index
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