Clayton Sanford

According to our database, Clayton Sanford authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

One-layer transformers fail to solve the induction heads task.

Clayton Sanford, Daniel Hsu, Matus Telgarsky

CoRR, 2024

Understanding Transformer Reasoning Capabilities via Graph Algorithms.

Clayton Sanford, Bahare Fatemi, Ethan Hall, Anton Tsitsulin, Seyed Mehran Kazemi, Jonathan Halcrow, Bryan Perozzi, Vahab Mirrokni

CoRR, 2024

Transformers, parallel computation, and logarithmic depth.

Clayton Sanford, Daniel Hsu, Matus Telgarsky

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Representational Strengths and Limitations of Transformers.

Clayton Sanford, Daniel J. Hsu, Matus Telgarsky

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Intrinsic dimensionality and generalization properties of the R-norm inductive bias.

Navid Ardeshir, Daniel J. Hsu, Clayton Hendrick Sanford

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

On Scrambling Phenomena for Randomly Initialized Recurrent Networks.

Vaggos Chatziafratis, Ioannis Panageas, Clayton Sanford, Stelios Stavroulakis

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning single-index models with shallow neural networks.

Alberto Bietti, Joan Bruna, Clayton Sanford, Min Jae Song

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Near-Optimal Statistical Query Lower Bounds for Agnostically Learning Intersections of Halfspaces with Gaussian Marginals.

Daniel J. Hsu, Clayton Hendrick Sanford, Rocco A. Servedio, Emmanouil-Vasileios Vlatakis-Gkaragkounis

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky's Theorem.

Clayton Hendrick Sanford, Vaggos Chatziafratis

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Support vector machines and linear regression coincide with very high-dimensional features.

Navid Ardeshir, Clayton Sanford, Daniel J. Hsu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On the Approximation Power of Two-Layer Networks of Random ReLUs.

Daniel Hsu, Clayton Sanford, Rocco A. Servedio, Emmanouil V. Vlatakis-Gkaragkounis

Proceedings of the Conference on Learning Theory, 2021

2018

Uniform Convergence Bounds for Codec Selection.

Clayton Sanford, Cyrus Cousins, Eli Upfal

CoRR, 2018

2017

Spliceman2: a computational web server that predicts defects in pre-mRNA splicing.

Kamil Jan Cygan, Clayton Hendrick Sanford, William G. Fairbrother

Bioinform., 2017