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hal-01667777v1  Poster communications
Eugene BelilovskyMatthew BlaschkoJamie KirosRaquel UrtasunRichard Zemel. Joint Embeddings of Scene Graphs and Images
International Conference On Learning Representations - Workshop, 2017, Toulon, France
hal-01104411v1  Conference papers
Eugene BelilovskyAndreas ArgyriouMatthew 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
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hal-01306491v4  Conference papers
Eugene BelilovskyKyle KastnerGaël VaroquauxMatthew Blaschko. Learning to Discover Sparse Graphical Models
International Conference on Machine Learning , Aug 2017, Sydney, Australia
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hal-01248844v4  Conference papers
Eugene BelilovskyGaël VaroquauxMatthew B. Blaschko. Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity
Neural Information Processing Systems (NIPS) 2016, Dec 2016, Barcelona, Spain
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hal-02119398v1  Conference papers
Eugene BelilovskyMichael EickenbergEdouard Oyallon. Greedy Layerwise Learning Can Scale to ImageNet
ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, CA, United States
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hal-01837587v1  Journal articles
Edouard OyallonSergey ZagoruykoGabriel HuangNikos KomodakisSimon Lacoste-Julien et al.  Scattering Networks for Hybrid Representation Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2018, pp.11. ⟨10.1109/TPAMI.2018.2855738⟩
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hal-01495734v2  Conference papers
Edouard OyallonEugene BelilovskySergey Zagoruyko. Scaling the Scattering Transform: Deep Hybrid Networks
International Conference on Computer Vision (ICCV), Oct 2017, Venice, Italy
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hal-01850921v1  Conference papers
Edouard OyallonEugene BelilovskySergey ZagoruykoMichal Valko. Compressing the Input for CNNs with the First-Order Scattering Transform
ECCV 2018 - European Conference on Computer Vision, Sep 2018, Munich, Germany
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hal-03114389v1  Conference papers
Louis ThiryMichael ArbelEugene BelilovskyEdouard Oyallon. The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods
International Conference on Learning Representation (ICLR 2021), 2021, Vienna (online), Austria
hal-02945354v1  Journal articles
Mathieu AndreuxTomás AnglesGeorgios ExarchakisRoberto LeonarduzziGaspar Rochette et al.  Kymatio: Scattering Transforms in Python
Journal of Machine Learning Research, Microtome Publishing, 2020, 21 (60), pp.1-6