Buchanan, Sam

13 publications

NeurIPS 2025 Beyond Scores: Proximal Diffusion Models Zhenghan Fang, Mateo Diaz Diaz, Sam Buchanan, Jeremias Sulam

NeurIPS 2025 On the Edge of Memorization in Diffusion Models Sam Buchanan, Druv Pai, Yi Ma, Valentin De Bortoli

CPAL 2024 Emergence of Segmentation with Minimalistic White-Box Transformers Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma

ICLR 2024 Masked Completion via Structured Diffusion with White-Box Transformers Druv Pai, Sam Buchanan, Ziyang Wu, Yaodong Yu, Yi Ma

ICLR 2024 What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang, Sam Buchanan, Jeremias Sulam

JMLR 2024 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

ICCV 2023 Canonical Factors for Hybrid Neural Fields Brent Yi, Weijia Zeng, Sam Buchanan, Yi Ma

NeurIPSW 2023 Emergence of Segmentation with Minimalistic White-Box Transformers Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma

NeurIPSW 2023 What’s in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang, Sam Buchanan, Jeremias Sulam

NeurIPS 2023 White-Box Transformers via Sparse Rate Reduction Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin Haeffele, Yi Ma

NeurIPS 2021 Deep Networks Provably Classify Data on Curves Tingran Wang, Sam Buchanan, Dar Gilboa, John Wright

ICLR 2021 Deep Networks and the Multiple Manifold Problem Sam Buchanan, Dar Gilboa, John Wright

ICML 2019 Efficient Dictionary Learning with Gradient Descent Dar Gilboa, Sam Buchanan, John Wright