Sam Buchanan

According to our database, Sam Buchanan authored at least 11 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?

Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Hao Bai, Yuexiang Zhai, Benjamin D. Haeffele, Yi Ma

CoRR, 2023

What's in a Prior? Learned Proximal Networks for Inverse Problems.

Zhenghan Fang, Sam Buchanan, Jeremias Sulam

CoRR, 2023

Emergence of Segmentation with Minimalistic White-Box Transformers.

Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma

CoRR, 2023

White-Box Transformers via Sparse Rate Reduction.

Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin D. Haeffele, Yi Ma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Canonical Factors for Hybrid Neural Fields.

Brent Yi, Weijia Zeng, Sam Buchanan, Yi Ma

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Deep Networks Through the Lens of Low-Dimensional Structure: Towards Mathematical and Computational Principles for Nonlinear Data

Sam Buchanan

PhD thesis, 2022

Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization.

Sam Buchanan, Jingkai Yan, Ellie Haber, John Wright

CoRR, 2022

2021

Deep Networks Provably Classify Data on Curves.

Tingran Wang, Sam Buchanan, Dar Gilboa, John Wright

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Networks and the Multiple Manifold Problem.

Sam Buchanan, Dar Gilboa, John Wright

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Efficient Dictionary Learning with Gradient Descent.

Dar Gilboa, Sam Buchanan, John Wright

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Efficient Model-Free Learning to Overcome Hardware Nonidealities in Analog-to-Information Converters.

Sam Buchanan, Tanbir Haque, Peter R. Kinget, John Wright

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018