Robin Vandaele

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 10

Top Topics

Graph Representations

Riemannian Metric

Dimensional Data

Top Venues

J. Mach. Learn. Res.

Publications

Robin Vandaele, Pritam Mukherjee, Heather Marie Selby, Rajesh Pravin Shah, Olivier Gevaert
Topological data analysis of thoracic radiographic images shows improved radiomics-based lung tumor histology prediction. Patterns 4 (1) (2023)
Edith Heiter, Robin Vandaele, Tijl De Bie, Yvan Saeys, Jefrey Lijffijt
Topologically Regularized Data Embeddings. CoRR (2023)
Robin Vandaele, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Yvan Saeys
Topologically Regularized Data Embeddings. ICLR (2022)
Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys
The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data? AISTATS (2022)
Robin Vandaele, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Yvan Saeys
Topologically Regularized Data Embeddings. CoRR (2021)
Robin Vandaele, Bastian Rieck, Yvan Saeys, Tijl De Bie
Stable topological signatures for metric trees through graph approximations. Pattern Recognit. Lett. 147 (2021)
Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys
The Curse Revisited: a Newly Quantified Concept of Meaningful Distances for Learning from High-Dimensional Noisy Data. CoRR (2021)
Robin Vandaele, Yvan Saeys, Tijl De Bie
Graph Approximations to Geodesics on Metric Graphs. ICPR (2020)
Robin Vandaele, Yvan Saeys, Tijl De Bie
Mining Topological Structure in Graphs through Forest Representations. J. Mach. Learn. Res. 21 (2020)
Robin Vandaele, Tijl De Bie, Yvan Saeys
Local Topological Data Analysis to Uncover the Global Structure of Data Approaching Graph-Structured Topologies. ECML/PKDD (2) (2018)