Sam Buchanan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Dictionary Learning

Emission Tomography

Top Venues

Publications

Druv Pai, Sam Buchanan, Ziyang Wu, Yaodong Yu, Yi Ma
Masked Completion via Structured Diffusion with White-Box Transformers. ICLR (2024)
Zhenghan Fang, Sam Buchanan, Jeremias Sulam
What's in a Prior? Learned Proximal Networks for Inverse Problems. ICLR (2024)
Druv Pai, Ziyang Wu, Sam Buchanan, Yaodong Yu, Yi Ma
Masked Completion via Structured Diffusion with White-Box Transformers. CoRR (2024)
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 (2023)
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)
Brent Yi, Weijia Zeng, Sam Buchanan, Yi Ma
Canonical Factors for Hybrid Neural Fields. CoRR (2023)
Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma
Emergence of Segmentation with Minimalistic White-Box Transformers. CoRR (2023)
Zhenghan Fang, Sam Buchanan, Jeremias Sulam
What's in a Prior? Learned Proximal Networks for Inverse Problems. CoRR (2023)
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 (2023)
Brent Yi, Weijia Zeng, Sam Buchanan, Yi Ma
Canonical Factors for Hybrid Neural Fields. ICCV (2023)
Sam Buchanan, Jingkai Yan, Ellie Haber, John Wright
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization. CoRR (2022)
Tingran Wang, Sam Buchanan, Dar Gilboa, John Wright
Deep Networks Provably Classify Data on Curves. CoRR (2021)
Tingran Wang, Sam Buchanan, Dar Gilboa, John Wright
Deep Networks Provably Classify Data on Curves. NeurIPS (2021)
Sam Buchanan, Dar Gilboa, John Wright
Deep Networks and the Multiple Manifold Problem. ICLR (2021)
Sam Buchanan, Dar Gilboa, John Wright
Deep Networks and the Multiple Manifold Problem. CoRR (2020)
Dar Gilboa, Sam Buchanan, John Wright
Efficient Dictionary Learning with Gradient Descent. ICML (2019)
Sam Buchanan, Tanbir Haque, Peter R. Kinget, John Wright
Efficient Model-Free Learning to Overcome Hardware Nonidealities in Analog-to-Information Converters. ICASSP (2018)