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Steinar Laenen

5 papers · 2020–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (11)

Venues

ICML (3) NeurIPS (2)

Top co-authors

He Sun (4) Peter Macgregor (1) Bogdan Adrian Manghiuc (1) Luca Bertinetto (1)

Research topics

Machine Learning (4) Core Methods (4) Mathematics & Optimization (3) Data Science & Analytics (2) Applications (2) Mathematics (2) Optimization (2) Deep Learning (1) Architectures (1) Learning Paradigms (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1)

Keywords

spectral clustering (3) graph clustering (2) cluster structure (2) episodic learning (1) hierarchical clustering (1) nearest neighbor (1) sparse approximation (1) clustering quality (1) kernel density estimation (1) directed graph (1) approximation algorithm (1) dynamic graph (1) approximation guarantee (1) dasgupta cost (1) dynamic data structure (1) prototypical network (1) similarity graph (1) matching network (1) nearest neighbour (1) query time (1)

Papers

Dynamic Similarity Graph Construction with Kernel Density Estimation ICML 2025 Dynamic Spectral Clustering with Provable Approximation Guarantee ICML 2024 Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs ICML 2023 On Episodes, Prototypical Networks, and Few-Shot Learning NeurIPS 2021 Higher-Order Spectral Clustering of Directed Graphs NeurIPS 2020