382 citations · 400 across the 5 of their papers we have counts for
7 papers
Joint Optimization of an Autoencoder for Clustering and Embedding
Ahcène Boubekki, Michael Kampffmeyer, Robert Jenssen +1
Deep embedded clustering has become a dominating approach to unsupervised categorization of objects with deep neural networks. The optimization of the most popular methods alternat…
Principled Interpolation in Normalizing Flows
Samuel G. Fadel, Sebastian Mair, Ricardo da S. Torres +1
Generative models based on normalizing flows are very successful in modeling complex data distributions using simpler ones. However, straightforward linear interpolations show unex…
Evaluating one-shot tournament predictions
Claus Thorn Ekstrøm, Hans Van Eetvelde, Christophe Ley +1
We introduce the Tournament Rank Probability Score (TRPS) as a measure to evaluate and compare pre-tournament predictions, where predictions of the full tournament results are requ…
Infinite Mixture Model of Markov Chains
Jan Reubold, Thorsten Strufe, Ulf Brefeld
We propose a Bayesian nonparametric mixture model for prediction- and information extraction tasks with an efficient inference scheme. It models categorical-valued time series that…
Toward Supervised Anomaly Detection
Nico Goernitz, Marius Micha Kloft, Konrad Rieck +1
Anomaly detection is being regarded as an unsupervised learning task as anomalies stem from adversarial or unlikely events with unknown distributions. However, the predictive perfo…
Insights from Classifying Visual Concepts with Multiple Kernel Learning
Alexander Binder, Shinichi Nakajima, Marius Kloft +5
Combining information from various image features has become a standard technique in concept recognition tasks. However, the optimal way of fusing the resulting kernel functions is…
Non-Sparse Regularization for Multiple Kernel Learning
Marius Kloft, Ulf Brefeld, Soeren Sonnenburg +1
Learning linear combinations of multiple kernels is an appealing strategy when the right choice of features is unknown. Previous approaches to multiple kernel learning (MKL) promot…