Draganov, Andrew

6 publications

TMLR 2025 Node Embeddings via Neighbor Embeddings Jan Niklas Böhm, Marius Keute, Alica Guzmán, Sebastian Damrich, Andrew Draganov, Dmitry Kobak

ICML 2025 On the Importance of Embedding Norms in Self-Supervised Learning Andrew Draganov, Sharvaree Vadgama, Sebastian Damrich, Jan Niklas Böhm, Lucas Maes, Dmitry Kobak, Erik J Bekkers

NeurIPS 2025 Ultrametric Cluster Hierarchies: I Want ‘em All! Andrew Draganov, Pascal Weber, Rasmus Skibdahl Melanchton Jørgensen, Anna Beer, Claudia Plant, Ira Assent

ICMLW 2024 The Hidden Pitfalls of the Cosine Similarity Loss Andrew Draganov, Sharvaree Vadgama, Erik J Bekkers

IJCAI 2023 ActUp: Analyzing and Consolidating tSNE and UMAP Andrew Draganov, Jakob Rødsgaard Jørgensen, Katrine Scheel, Davide Mottin, Ira Assent, Tyrus Berry, Çigdem Aslay

MLJ 2023 UCoDe: Unified Community Detection with Graph Convolutional Networks Atefeh Moradan, Andrew Draganov, Davide Mottin, Ira Assent