Eugene Belilovsky bio photo

Eugene Belilovsky

PhD Student in Machine Learning

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Publications

Overview

Also take a look at my Google Scholar profile

List of Publications

  • Edouard Oyallon, Eugene Belilovsky,Sergey Zagoruyko: Scaling the Scattering Transform: Deep Hybrid Networks. ICCV 2017. PDF [Code]

  • Eugene Belilovsky, Kyle Kastner, Gael Varoquaux, Matthew B. Blaschko: Learning to Discover Sparse Graphical Model Structures. ICML 2017. PDF [Code]

  • Eugene Belilovsky, Matthew B. Blaschko, Jamie R. Kiros, Raquel Urtasun, Richard Zemel: Joint Embeddings of Scene Graphs and Images. ICLR 2017 (Workshop). PDF

  • Wacha Bounliphone, Eugene Belilovsky, Arthur Tenenhaus, Ioannis Antonoglou, Arthur Gretton, and Matthew B. Blaschko: Fast Non-Parametric Tests of Relative Dependency and Similarity. arXiv:1611.05740, 2016. PDF

  • Eugene Belilovsky, Gael Varoquaux, Matthew B. Blaschko, : Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity. NIPS 2016. PDF

  • Eugene Belilovsky ,* Wacha Bounliphone, Matthew Blaschko, Ioannis Antonoglou, Arthur Gretton : A Test of Relative Similarity For Model Selection in Generative Models . ICLR 2016. PDF [Code]

  • Eugene Belilovsky, Andreas Argyriou, Gael Varoquaux, and Matthew B. Blaschko: Convex Relaxations of Penalties for Sparse Correlated Variables With Bounded Total Variation . Machine Learning, Springer, 2015. ECML/KPDD 2015 Journal Track. PDF [Code]

  • Eugene Belilovsky, Katerina Gkirtzou, Michail Misyrlis, Anna Konova, Jean Honorio, Nelly Alia-Klein, Rita Goldstein, Dimitris Samaras, Matthew Blaschko Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm . Computerized Medical Imaging and Graphics, Elsevier, 2015, pp.1. PDF

  • Eugene Belilovsky, Andreas Argyriou, Matthew Blaschko Approximating Combined Discrete Total Variation and Correlated Sparsity With Convex Relaxations. NIPS Workshop on Discrete and Combinatorial Problems in Machine Learning, Dec 2014, Montreal, Canada. pp.1. PDF

  • Eugene Belilovsky Convolutional Neural Networks for Speaker-Independent Speech Recognition Master’s Thesis, 2011 PDF

  • Müller, F., Belilovsky, E., and Mertins, A.: Generalized Cyclic Transformations in Speaker-Independent Speech Recognition. Proc. 2009 IEEE Automatic Speech Recognition and Understanding Workshop, Merano, Italy, Dec. 13-17 2009 PDF