Information and Resource Allocation. - Janne Sinkkonen (Information Theory and the Brain, 2000)

Clustering by Similarity in an Auxiliary Space. - Janne Sinkkonen; Samuel Kaski (IDEAL, 2000)

Metrics that Learn Relevance. - Samuel Kaski; Janne Sinkkonen (IJCNN (5), 2000)

Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics. - Samuel Kaski; Janne Sinkkonen; Jaakko Peltonen (DaWaK, 2001)

Clustering Gene Expression Data by Mutual Information with Gene Function. - Samuel Kaski; Janne Sinkkonen; Janne Nikkilä (ICANN, 2001)

A Topography-Preserving Latent Variable Model with Learning Metrics. - Samuel Kaski; Janne Sinkkonen (WSOM, 2001)

Bankruptcy analysis with self-organizing maps in learning metrics. - Samuel Kaski; Janne Sinkkonen; Jaakko Peltonen (IEEE Trans. Neural Networks, 2001)

Discriminative Clustering: Optimal Contingency Tables by Learning Metrics. - Janne Sinkkonen; Samuel Kaski; Janne Nikkilä (ECML, 2002)

Clustering Based on Conditional Distributions in an Auxiliary Space. - Janne Sinkkonen; Samuel Kaski (Neural Comput., 2002)

Regularized discriminative clustering. - Samuel Kaski; Janne Sinkkonen; Arto Klami (NNSP, 2003)

Learning metrics and discriminative clustering. - Janne Sinkkonen (2003)

Associative Clustering. - Janne Sinkkonen; Janne Nikkilä; Leo Lahti; Samuel Kaski (ECML, 2004)

Sequential information bottleneck for finite data. - Jaakko Peltonen; Janne Sinkkonen; Samuel Kaski (ICML, 2004)

Principle of Learning Metrics for Exploratory Data Analysis. - Samuel Kaski; Janne Sinkkonen (J. VLSI Signal Process., 2004)

Two-Way Latent Grouping Model for User Preference Prediction. - Eerika Savia; Kai Puolamäki; Janne Sinkkonen; Samuel Kaski (UAI, 2005)

Discriminative clustering. - Samuel Kaski; Janne Sinkkonen; Arto Klami (Neurocomputing, 2005)

Associative Clustering for Exploring Dependencies between Functional Genomics Data Sets. - Samuel Kaski; Janne Nikkilä; Janne Sinkkonen; Leo Lahti; Juha E. A. Knuuttila; Christophe Roos (IEEE ACM Trans. Comput. Biol. Bioinform., 2005)

Inferring Vertex Properties from Topology in Large Networks. - Janne Sinkkonen; Janne Aukia; Samuel Kaski (MLG, 2007)

Infinite mixtures for multi-relational categorical data. - Janne Sinkkonen; Janne Aukia; Samuel Kaski (MLG@ICML, 2008)

A Block Model Suitable for Sparse Graphs. - Juuso A. Parkkinen; Janne Sinkkonen; Ádám Gyenge; Samuel Kaski (MLG/SRL@ILP, 2009)

An efficient block model for clustering sparse graphs. - Ádám Gyenge; Janne Sinkkonen; András A. Benczúr (MLG@KDD, 2010)

Infinite factorization of multiple non-parametric views. - Simon Rogers; Arto Klami; Janne Sinkkonen; Mark A. Girolami; Samuel Kaski (Mach. Learn., 2010)

Low-Rank Approximations of Second-Order Document Representations. - Jarkko Lagus; Janne Sinkkonen; Arto Klami (CoNLL, 2019)