InfoClus: Informative Clustering of High-dimensional Data Embeddings.
CoRR, April, 2025
Large Language Models Reflect the Ideology of their Creators.
CoRR, 2024
Incorporating Topological Priors Into Low-Dimensional Visualizations Through Topological Regularization.
IEEE Access, 2024
Pattern or Artifact? Interactively Exploring Embedding Quality with TRACE.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024
Topologically Regularized Data Embeddings.
CoRR, 2023
Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors.
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023
Evaluating Representation Learning and Graph Layout Methods for Visualization.
IEEE Computer Graphics and Applications, 2022
ExClus: Explainable Clustering on Low-dimensional Data Representations.
CoRR, 2021
Factoring out prior knowledge from low-dimensional embeddings.
CoRR, 2021
Verification of PCP-Related Computational Reductions in Coq.
Proceedings of the Interactive Theorem Proving - 9th International Conference, 2018