Publications

Selected Publications

1. Probing representation forgetting in supervised and unsupervised continual learning

   MohammadReza Davari, Nader Asadi, Sudhir Mudur, Rahaf Aljundi, Eugene Belilovsky — CVPR 2022

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2. CLIP-Mesh: Generating textured meshes from text using pretrained image-text models

   Nasir Khalid, Tianhao Xie, Eugene Belilovsky, Tiberiu Popa — SIGGRAPH Asia 2022

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3. Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors

   Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky — ECCV 2020

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4. Online Continual Learning with Maximally Inferred Retrieval

   Rahaf Aljundi*, Lucas Caccia*, Eugene Belilovsky*, Massimo Caccia*, Min Lin, Laurent Charlin, Tinne Tuytelaars — NeurIPS 2019 (*equal contribution)

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5. Decoupled Greedy Learning of CNNs

   Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon — ICML 2020

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6. Greedy Layerwise Learning Can Scale to ImageNet

   Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon — ICML 2019

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7. Scaling the Scattering Transform: Deep Hybrid Networks

   Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko — ICCV 2017

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8. Learning to Discover Sparse Graphical Model Structures

   Eugene Belilovsky, Kyle Kastner, Gael Varoquaux, Matthew B. Blaschko — ICML 2017

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9. Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity

   Eugene Belilovsky, Gael Varoquaux, Matthew B. Blaschko — NIPS 2016

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10. A Test of Relative Similarity For Model Selection in Generative Models

    Eugene Belilovsky*, Wacha Bounliphone*, Matthew Blaschko, Ioannis Antonoglou, Arthur Gretton — ICLR 2016 (*equal contribution)

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