Alexander Modell

12 papers A* 4A 1Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Multiresolution Analysis and Statistical Thresholding on Dynamic Networks. CoRR Raphaël Romero, Tijl De Bie, Nick Heard, Alexander Modell
2025	A*	`conf`	Rethinking Evaluation for Temporal Link Prediction through Counterfactual Analysis. ICLR Aniq Ur Rahman, Alexander Modell, Justin P. Coon
2025	J	`jnl`	The Origins of Representation Manifolds in Large Language Models. CoRR Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley
2024	A*	`conf`	Entrywise error bounds for low-rank approximations of kernel matrices. NeurIPS Alexander Modell
2024	J	`jnl`	Entrywise error bounds for low-rank approximations of kernel matrices. CoRR Alexander Modell
2023	A*	`conf`	Hierarchical clustering with dot products recovers hidden tree structure. NeurIPS Annie Gray, Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley
2023	J	`jnl`	Hierarchical clustering with dot products recovers hidden tree structure. CoRR Annie Gray, Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley
2023	A	`conf`	Implications of sparsity and high triangle density for graph representation learning. AISTATS Hannah Sansford, Alexander Modell, Nick Whiteley, Patrick Rubin-Delanchy
2023	A*	`conf`	Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks. NeurIPS Alexander Modell, Ian Gallagher, Emma Ceccherini, Nick Whiteley, Patrick Rubin-Delanchy
2023	J	`jnl`	Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks. CoRR Alexander Modell, Ian Gallagher, Emma Ceccherini, Nick Whiteley, Patrick Rubin-Delanchy
2022	J	`jnl`	Implications of sparsity and high triangle density for graph representation learning. CoRR Hannah Sansford, Alexander Modell, Nick Whiteley, Patrick Rubin-Delanchy
2021	—	`conf`	A Graph Embedding Approach to User Behavior Anomaly Detection. IEEE BigData Alexander Modell, Jonathan Larson, Melissa Turcotte, Anna Bertiger