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2020 – today
- 2024
[i4]Alexander Modell:
Entrywise error bounds for low-rank approximations of kernel matrices. CoRR abs/2405.14494 (2024)- 2023
- [c4]Hannah Sansford, Alexander Modell, Nick Whiteley, Patrick Rubin-Delanchy:
Implications of sparsity and high triangle density for graph representation learning. AISTATS 2023: 5449-5473 - [c3]Annie Gray, Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley:
Hierarchical clustering with dot products recovers hidden tree structure. NeurIPS 2023 - [c2]Alexander Modell, Ian Gallagher, Emma Ceccherini, Nick Whiteley, Patrick Rubin-Delanchy:
Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks. NeurIPS 2023 - [i3]Annie Gray, Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley:
Hierarchical clustering with dot products recovers hidden tree structure. CoRR abs/2305.15022 (2023) - [i2]Alexander Modell, Ian Gallagher, Emma Ceccherini, Nick Whiteley, Patrick Rubin-Delanchy:
Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks. CoRR abs/2306.06155 (2023) - 2022
- [i1]Hannah Sansford, Alexander Modell, Nick Whiteley, Patrick Rubin-Delanchy:
Implications of sparsity and high triangle density for graph representation learning. CoRR abs/2210.15277 (2022) - 2021
- [c1]Alexander Modell, Jonathan Larson, Melissa Turcotte, Anna Bertiger:
A Graph Embedding Approach to User Behavior Anomaly Detection. IEEE BigData 2021: 2650-2655
Coauthor Index
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