Sam Buchanan

According to our database1, Sam Buchanan authored at least 12 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Masked Completion via Structured Diffusion with White-Box Transformers.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

What's in a Prior? Learned Proximal Networks for Inverse Problems.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?
CoRR, 2023

Emergence of Segmentation with Minimalistic White-Box Transformers.
CoRR, 2023

White-Box Transformers via Sparse Rate Reduction.
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.
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
PhD thesis, 2022

Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization.
CoRR, 2022

2021
Deep Networks Provably Classify Data on Curves.
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.
Proceedings of the 9th International Conference on Learning Representations, 2021

2019
Efficient Dictionary Learning with Gradient Descent.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Efficient Model-Free Learning to Overcome Hardware Nonidealities in Analog-to-Information Converters.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018


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