Why Flatness Correlates With Generalization For Deep Neural Networks. - Shuofeng Zhang; Isaac Reid; Guillermo Valle Pérez; Ard A. Louis (CoRR, 2021)

Simplex Random Features. - Isaac Reid; Krzysztof Marcin Choromanski; Valerii Likhosherstov; Adrian Weller (ICML, 2023)

Quasi-Monte Carlo Graph Random Features. - Isaac Reid; Adrian Weller; Krzysztof Marcin Choromanski (NeurIPS, 2023)

Universal Graph Random Features. - Isaac Reid; Krzysztof Choromanski; Eli Berger; Adrian Weller (CoRR, 2023)

Repelling Random Walks. - Isaac Reid; Eli Berger; Krzysztof Marcin Choromanski; Adrian Weller (ICLR, 2024)

General Graph Random Features. - Isaac Reid; Krzysztof Marcin Choromanski; Eli Berger; Adrian Weller (ICLR, 2024)

Variance-Reducing Couplings for Random Features: Perspectives from Optimal Transport. - Isaac Reid; Stratis Markou; Krzysztof Choromanski; Richard E. Turner; Adrian Weller (CoRR, 2024)

Optimal Time Complexity Algorithms for Computing General Random Walk Graph Kernels on Sparse Graphs. - Krzysztof Marcin Choromanski; Isaac Reid; Arijit Sehanobish; Kumar Avinava Dubey (AISTATS, 2025)

Linear Transformer Topological Masking with Graph Random Features. - Isaac Reid; Kumar Avinava Dubey; Deepali Jain; William F. Whitney; Amr Ahmed 001; Joshua Ainslie; Alex Bewley; Mithun George Jacob; Aranyak Mehta; David Rendleman; Connor Schenck; Richard E. Turner; et al. (ICLR, 2025)

Variance-Reducing Couplings for Random Features. - Isaac Reid; Stratis Markou; Krzysztof Marcin Choromanski; Richard E. Turner; Adrian Weller (ICLR, 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 001; Avinava Dubey; Ayzaan Wahid; Sumeet Singh; René Wagner; et al. (CoRR, 2025)

Distributional Training Data Attribution. - Bruno Mlodozeniec; Isaac Reid; Sam Power; David Krueger 001; Murat A. Erdogdu; Richard E. Turner; Roger B. Grosse (CoRR, 2025)