Isaac Reid

According to our database, Isaac Reid authored at least 12 papers between 2021 and 2025.

Collaborative distances:

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

2025

Distributional Training Data Attribution.

Bruno Mlodozeniec, Isaac Reid, Sam Power, David Krueger, Murat A. Erdogdu, Richard E. Turner, Roger B. Grosse

CoRR, June, 2025

Learning the RoPEs: Better 2D and 3D Position Encodings with STRING.

Connor Schenck, Isaac Reid, Mithun George Jacob, Alex Bewley, Joshua Ainslie, David Rendleman, Deepali Jain, Mohit Sharma, Avinava Dubey, Ayzaan Wahid, Sumeet Singh, René Wagner, Tianli Ding, Chuyuan Fu, Arunkumar Byravan, Jake Varley, Alexey A. Gritsenko, Matthias Minderer, Dmitry Kalashnikov, Jonathan Tompson, Vikas Sindhwani, Krzysztof Choromanski

CoRR, February, 2025

Variance-Reducing Couplings for Random Features.

Isaac Reid, Stratis Markou, Krzysztof Marcin Choromanski, Richard E. Turner, Adrian Weller

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Linear Transformer Topological Masking with Graph Random Features.

Isaac Reid, Kumar Avinava Dubey, Deepali Jain, William F. Whitney, Amr Ahmed, Joshua Ainslie, Alex Bewley, Mithun George Jacob, Aranyak Mehta, David Rendleman, Connor Schenck, Richard E. Turner, René Wagner, Adrian Weller, Krzysztof Marcin Choromanski

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Optimal Time Complexity Algorithms for Computing General Random Walk Graph Kernels on Sparse Graphs.

Krzysztof Marcin Choromanski, Isaac Reid, Arijit Sehanobish, Kumar Avinava Dubey

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Variance-Reducing Couplings for Random Features: Perspectives from Optimal Transport.

Isaac Reid, Stratis Markou, Krzysztof Choromanski, Richard E. Turner, Adrian Weller

CoRR, 2024

General Graph Random Features.

Isaac Reid, Krzysztof Marcin Choromanski, Eli Berger, Adrian Weller

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Repelling Random Walks.

Isaac Reid, Eli Berger, Krzysztof Marcin Choromanski, Adrian Weller

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Universal Graph Random Features.

Isaac Reid, Krzysztof Choromanski, Eli Berger, Adrian Weller

CoRR, 2023

Quasi-Monte Carlo Graph Random Features.

Isaac Reid, Adrian Weller, Krzysztof Marcin Choromanski

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

Simplex Random Features.

Isaac Reid, Krzysztof Marcin Choromanski, Valerii Likhosherstov, Adrian Weller

Proceedings of the International Conference on Machine Learning, 2023

2021

Why Flatness Correlates With Generalization For Deep Neural Networks.

Shuofeng Zhang, Isaac Reid, Guillermo Valle Pérez, Ard A. Louis

CoRR, 2021