Going Metric: Denoising Pairwise Data. - Volker Roth 001; Julian Laub; Joachim M. Buhmann; Klaus-Robert Müller (NIPS, 2002)

Optimal Cluster Preserving Embedding of Nonmetric Proximity Data. - Volker Roth 001; Julian Laub; Motoaki Kawanabe; Joachim M. Buhmann (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Annealed k-Means Clustering and Decision Trees. - Christin Schäfer; Julian Laub (GfKl, 2004)

Feature Discovery in Non-Metric Pairwise Data. - Julian Laub; Klaus-Robert Müller (J. Mach. Learn. Res., 2004)

Non-metric pairwise proximity data. - Julian Laub (2004)

Inducing Metric Violations in Human Similarity Judgements. - Julian Laub; Jakob H. Macke; Klaus-Robert Müller; Felix A. Wichmann (NIPS, 2006)

On the information and representation of non-Euclidean pairwise data. - Julian Laub; Volker Roth 001; Joachim M. Buhmann; Klaus-Robert Müller (Pattern Recognit., 2006)

Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach. - Anton Schwaighofer; Timon Schroeter; Sebastian Mika; Julian Laub; Antonius ter Laak; Detlev Sülzle; Ursula Ganzer; Nikolaus Heinrich; Klaus-Robert Müller (J. Chem. Inf. Model., 2007)