Verification of PCP-Related Computational Reductions in Coq. - Yannick Forster 002; Edith Heiter; Gert Smolka (ITP, 2018)

Factoring out prior knowledge from low-dimensional embeddings. - Edith Heiter; Jonas Fischer; Jilles Vreeken (CoRR, 2021)

ExClus: Explainable Clustering on Low-dimensional Data Representations. - Xander Vankwikelberge; Bo Kang; Edith Heiter; Jefrey Lijffijt (CoRR, 2021)

Evaluating Representation Learning and Graph Layout Methods for Visualization. - Edith Heiter; Bo Kang; Tijl De Bie; Jefrey Lijffijt (IEEE Computer Graphics and Applications, 2022)

Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors. - Edith Heiter; Bo Kang; Ruth Seurinck; Jefrey Lijffijt (IDA, 2023)

Topologically Regularized Data Embeddings. - Edith Heiter; Robin Vandaele; Tijl De Bie; Yvan Saeys; Jefrey Lijffijt (CoRR, 2023)

Pattern or Artifact? Interactively Exploring Embedding Quality with TRACE. - Edith Heiter; Liesbet Martens; Ruth Seurinck; Martin Guilliams; Tijl De Bie; Yvan Saeys; Jefrey Lijffijt (ECML/PKDD (8), 2024)

Incorporating Topological Priors Into Low-Dimensional Visualizations Through Topological Regularization. - Edith Heiter; Robin Vandaele; Tijl De Bie; Yvan Saeys; Jefrey Lijffijt (IEEE Access, 2024)

Large Language Models Reflect the Ideology of their Creators. - Maarten Buyl; Alexander Rogiers; Sander Noels; Iris Dominguez-Catena; Edith Heiter; Raphaël Romero; Iman Johary; Alexandru Cristian Mara; Jefrey Lijffijt; Tijl De Bie (CoRR, 2024)

InfoClus: Informative Clustering of High-dimensional Data Embeddings. - Fuyin Lai; Edith Heiter; Guillaume Bied; Jefrey Lijffijt (CoRR, 2025)