Andrew Draganov

22 papers A* 5Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Phantom Transfer: Data-level Defences are Insufficient Against Data Poisoning. CoRR Andrew Draganov, Tolga H. Dur, Anandmayi Bhongade, Mary Phuong
2025	A*	`conf`	A Tight VC-Dimension Analysis of Clustering Coresets with Applications. SODA Vincent Cohen-Addad, Andrew Draganov, Matteo Russo, David Saulpic, Chris Schwiegelshohn
2025	J	`jnl`	A Tight VC-Dimension Analysis of Clustering Coresets with Applications. CoRR Vincent Cohen-Addad, Andrew Draganov, Matteo Russo, David Saulpic, Chris Schwiegelshohn
2025	J	`jnl`	I Want 'Em All (At Once) - Ultrametric Cluster Hierarchies. CoRR Andrew Draganov, Pascal Weber, Rasmus Skibdahl Melanchton Jørgensen, Anna Beer, Claudia Plant, Ira Assent
2025	J	`jnl`	Node Embeddings via Neighbor Embeddings. CoRR Jan Niklas Böhm, Marius Keute, Alica Guzmán, Sebastian Damrich, Andrew Draganov, Dmitry Kobak
2025	J	`jnl`	Node Embeddings via Neighbor Embeddings. Trans. Mach. Learn. Res. Jan Niklas Böhm, Marius Keute, Alica Guzmán, Sebastian Damrich, Andrew Draganov, Dmitry Kobak
2025	A*	`conf`	On the Importance of Embedding Norms in Self-Supervised Learning. ICML Andrew Draganov, Sharvaree Vadgama, Sebastian Damrich, Jan Niklas Böhm, Lucas Maes, Dmitry Kobak, Erik J. Bekkers
2025	J	`jnl`	On the Importance of Embedding Norms in Self-Supervised Learning. CoRR Andrew Draganov, Sharvaree P. Vadgama, Sebastian Damrich, Jan Niklas Böhm, Lucas Maes, Dmitry Kobak, Erik J. Bekkers
2024	A*	`conf`	DROPP: Structure-Aware PCA for Ordered Data: A General Method and its Applications in Climate Research and Molecular Dynamics. ICDE Anna Beer, Olivér Palotás, Andrea Maldonado, Andrew Draganov, Ira Assent
2024	J	`jnl`	Settling Time vs. Accuracy Tradeoffs for Clustering Big Data. CoRR Andrew Draganov, David Saulpic, Chris Schwiegelshohn
2024	J	`jnl`	Settling Time vs. Accuracy Tradeoffs for Clustering Big Data. Proc. ACM Manag. Data Andrew Draganov, David Saulpic, Chris Schwiegelshohn
2024	J	`jnl`	The Hidden Pitfalls of the Cosine Similarity Loss. CoRR Andrew Draganov, Sharvaree P. Vadgama, Erik J. Bekkers
2023	A*	`conf`	ActUp: Analyzing and Consolidating tSNE and UMAP. IJCAI Andrew Draganov, Jakob Rødsgaard Jørgensen, Katrine Scheel, Davide Mottin, Ira Assent, Tyrus Berry, Çigdem Aslay
2023	J	`jnl`	ActUp: Analyzing and Consolidating tSNE and UMAP. CoRR Andrew Draganov, Jakob Rødsgaard Jørgensen, Katrine Scheel Nellemann, Davide Mottin, Ira Assent, Tyrus Berry, Çigdem Aslay
2023	A*	`conf`	Connecting the Dots - Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering. KDD Anna Beer, Andrew Draganov, Ellen Hohma, Philipp Jahn, Christian M. M. Frey, Ira Assent
2023	J	`jnl`	UCoDe: unified community detection with graph convolutional networks. Mach. Learn. Atefeh Moradan, Andrew Draganov, Davide Mottin, Ira Assent
2023	J	`jnl`	Unexplainable Explanations: Towards Interpreting tSNE and UMAP Embeddings. CoRR Andrew Draganov, Simon Dohn
2022	J	`jnl`	GiDR-DUN; Gradient Dimensionality Reduction - Differences and Unification. CoRR Andrew Draganov, Tyrus Berry, Jakob Rødsgaard Jørgensen, Katrine Scheel Nellemann, Ira Assent, Davide Mottin
2021	J	`jnl`	ChaRRNets: Channel Robust Representation Networks for RF Fingerprinting. CoRR Carter N. Brown, Enrico Mattei, Andrew Draganov
2021	J	`jnl`	UCoDe: Unified Community Detection with Graph Convolutional Networks. CoRR Atefeh Moradan, Andrew Draganov, Davide Mottin, Ira Assent
2020	—	`conf`	Open set recognition through unsupervised and class-distance learning. WiseML@WiSec Andrew Draganov, Carter Brown, Enrico Mattei, Cass Dalton, Jaspreet Ranjit
2019	—	`conf`	Feature Learning for Enhanced Security in the Internet of Things. GlobalSIP Enrico Mattei, Cass Dalton, Andrew Draganov, Brent Marin, Michael Tinston, Greg Harrison, Bob Smarrelli, Marc Harlacher