Eugene Belilovsky bio photo

Eugene Belilovsky

Researcher in Machine Learning

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Publications

My full and update list of publications can be found Google Scholar profile

Selected Publications

  • MohammadReza Davari, Nader Asadi, Sudhir Mudur, Rahaf Aljundi, Eugene Belilovsky: Probing representation forgetting in supervised and unsupervised continual learning. CVPR 2022. PDF

  • Nasir Khalid, Tianhao Xie, Eugene Belilovsky, Tiberiu Popa: CLIP-Mesh: Generating textured meshes from text using pretrained image-text models. SIGGRAPH Asia 2022. PDF [Code]

  • Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky: Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors. ECCV 2020. PDF [Code]

  • Rahaf Aljundi*, Lucas Caccia*, Eugene Belilovsky*, Massimo Caccia*, Min Lin, Laurent Charlin, Tinne Tuytelaars: Online Continual Learning with Maximally Inferred Retrieval. NeurIPS 2019. *Equal Contribution PDF [Code]

  • Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon: Decoupled Greedy Learning of CNNs. ICML 2020. PDF [Code]

  • Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon: Greedy Layerwise Learning Can Scale to ImageNet. ICML 2019. PDF [Code]

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

  • 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]