Buchanan, Sam

1. White-Box Transformers via Sparse Rate Reduction
   2023/06/01 by Yaodong Yu, Yu, Yaodong, Sam Buchanan +13 · 16 citations
   Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques
2. What's in a Prior? Learned Proximal Networks for Inverse Problems
   2023/10/22 by Fang, Zhenghan, Buchanan, Sam, Sulam, Jeremias · 8 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?
   2023/11/22 by Yaodong Yu, Sam Buchanan, Yu, Yaodong +17 · 5 citations
   Computer Science · #Image and Signal Denoising Methods #Generative Adversarial Networks and Image Synthesis #Advanced Data Compression Techniques
4. Efficient Dictionary Learning with Gradient Descent
   2018/09/27 by Dar Gilboa, Gilboa, Dar, Sam Buchanan +3 · 2 citations
   Computer Science · Engineering · Mathematics · #FOS: Mathematics #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Tensor decomposition and applications
5. Deep Networks and the Multiple Manifold Problem
   2020/08/25 by Buchanan, Sam, Gilboa, Dar, Wright, John · 2 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
6. Emergence of Segmentation with Minimalistic White-Box Transformers
   2023/08/30 by Yu, Yaodong, Chu, Tianzhe, Tong, Shengbang +4 · 3 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
7. Masked Completion via Structured Diffusion with White-Box Transformers
   2024/04/03 by Druv Pai, Ziyang Wu, Pai, Druv +7 · 3 citations
   Engineering · #Architecture and Computational Design #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. On the Edge of Memorization in Diffusion Models
   2025/08/25 by Sam Buchanan, Buchanan, Sam, Druv Pai +5 · 2 voices · 3 citations
   #cs.LG #stat.ML
9. Canonical Factors for Hybrid Neural Fields
   2023/08/29 by Brent Yi, Yi, Brent, Weijia Zeng +5 · 1 citation
   Computer Science · Physics and Astronomy · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Optimization and Control (math.OC)
10. Beyond Scores: Proximal Diffusion Models
    2025/07/11 by Fang, Zhenghan, Díaz, Mateo, Buchanan, Sam +1 · 2 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)