Hannah Sansford

According to our database, Hannah Sansford authored at least 5 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Vision-Guided Iterative Refinement for Frontend Code Generation.

Hannah Sansford, Derek H. C. Law, Wei Liu, Abhishek Tripathi, Niresh Agarwal, Gerrit J. J. van den Burg

CoRR, April, 2026

Uncovering Locally Low-dimensional Structure in Networks by Locally Optimal Spectral Embedding.

Hannah Sansford, Nick Whiteley, Patrick Rubin-Delanchy

CoRR, March, 2026

2025

How high is 'high'? Rethinking the roles of dimensionality in topological data analysis and manifold learning.

Hannah Sansford, Nick Whiteley, Patrick Rubin-Delanchy

CoRR, May, 2025

2024

GraphEval: A Knowledge-Graph Based LLM Hallucination Evaluation Framework.

Hannah Sansford, Nicholas Richardson, Hermina Petric Maretic, Juba Nait Saada

Proceedings of the Workshop on Knowledge-infused Learning co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024

2023

Implications of sparsity and high triangle density for graph representation learning.

Hannah Sansford, Alexander Modell, Nick Whiteley, Patrick Rubin-Delanchy

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023