180 citations · 421 across the 13 of their papers we have counts for
13 papers
A Unified Framework for Tabular Generative Modeling: Loss Functions, Benchmarks, and Improved Multi-objective Bayesian Optimization Approaches
Minh H. Vu, Daniel Edler, Carl Wibom +3
Deep learning (DL) models require extensive data to achieve strong performance and generalization. Deep generative models (DGMs) offer a solution by synthesizing data. Yet current…
Community Detection with the Map Equation and Infomap: Theory and Applications
Jelena Smiljanić, Christopher Blöcker, Anton Holmgren +3
Real-world networks have a complex topology comprising many elements often structured into communities. Revealing these communities helps researchers uncover the organizational and…
Infomap Bioregions 2 - Exploring the interplay between biogeography and evolution
Daniel Edler, Anton Holmgren, Alexis Rojas +3
Identifying and understanding the large-scale biodiversity patterns in time and space is vital for conservation and addressing fundamental ecological and evolutionary questions. Ne…
Mapping memory-biased dynamics with compact models reveals overlapping communities in large networks
Maja Lindström, Rohit Sahasrabuddhe, Anton Holmgren +3
Many real-world systems, from social networks to protein-protein interactions and species distributions, exhibit overlapping flow-based communities that reflect their functional or…
Mapping change in higher-order networks with multilevel and overlapping communities
Anton Holmgren, Daniel Edler, Martin Rosvall
New network models of complex systems use layers, state nodes, or hyperedges to capture higher-order interactions and dynamics. Simplifying how the higher-order networks change ove…
Variable Markov dynamics as a multi-focal lens to map multi-scale complex networks
Daniel Edler, Jelena Smiljanić, Anton Holmgren +2
From traffic flows on road networks to electrical signals in brain networks, many real-world networks contain modular structures of different sizes and densities. In the networks w…