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Career

· PhD Student, Cambridge University Engineering Department, Machine Learning Group2022–
· PhD Student, University of Cambridge, Machine Learning Group, Computational and Biological Learning Lab2022–
· Master of Physics student, University of Oxford2017–

Publications (15)

Entanglement barriers in dual-unitary circuits
Physical review B · 2021
27
cited
Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer
arXiv.org · 2025
21
cited
Learning the RoPEs: Better 2D and 3D Position Encodings with STRING
International Conference on Machine Learning · 2025
13
cited
Quasi-Monte Carlo Graph Random Features
Neural Information Processing Systems · 2023
11
cited
Why flatness does and does not correlate with generalization for deep neural networks
2021
11
cited
General Graph Random Features
International Conference on Learning Representations · 2023
9
cited
Simplex Random Features
International Conference on Machine Learning · 2023
9
cited
Repelling Random Walks
International Conference on Learning Representations · 2023
6
cited
Linear Transformer Topological Masking with Graph Random Features
International Conference on Learning Representations · 2024
4
cited
Why Flatness Correlates With Generalization For Deep Neural Networks
arXiv.org · 2021
3
cited
Optimal Time Complexity Algorithms for Computing General Random Walk Graph Kernels on Sparse Graphs
International Conference on Artificial Intelligence and Statistics · 2024
2
cited
Variance-Reducing Couplings for Random Features: Perspectives from Optimal Transport
International Conference on Learning Representations · 2024
2
cited
Computationally-efficient Graph Modeling with Refined Graph Random Features
arXiv.org · 2025
1
cited
Distributional Training Data Attribution
arXiv.org · 2025
1
cited
Rotary Position Encodings for Graphs
2025
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