Scholar
Sam Buchanan
Google Scholar ID: 5WT38A0AAAAJ
UC Berkeley
Machine Learning
Optimization
Signal Processing
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Citations & Impact
All-time
Citations
337
H-index
9
i10-index
9
Publications
15
Co-authors
10
list available
Contact
Email
sam@ttic.edu
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Publications
4 items
End-to-End Test-Time Training for Long Context
2025
Cited
0
On the Edge of Memorization in Diffusion Models
2025
Cited
0
Beyond Scores: Proximal Diffusion Models
2025
Cited
0
Canonical Factors for Hybrid Neural Fields
IEEE International Conference on Computer Vision · 2023
Cited
10
Resume (English only)
Background
Postdoctoral Scholar at University of California, Berkeley
Studies the mathematics of representation learning from the perspective of signals and data
Interested in structural properties of modern data underlying deep learning successes
Aims to scale models more effectively by exploiting data structure
Particularly focused on transformers and their applications to text and visual data
Co-authors
10 total
Yi Ma (马毅)
Director of School of Computing & Data Science, HKU; Visiting Professor of EECS, Berkeley
Yaodong Yu
University of California, Berkeley
John Wright
Electrical Engineering, Columbia University
Dar Gilboa
Google
Ben Haeffele
Johns Hopkins Unviersity
Jeremias Sulam
Assistant Professor, BME, Johns Hopkins University
Yuexiang Zhai
UC Berkeley | Google DeepMind
Co-author 8
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