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@SamsungSAILMontreal

Samsung SAIT AI Lab, Montreal

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  1. ForestDiffusion ForestDiffusion Public

    Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models

    Python 112 12

  2. ghn3 ghn3 Public

    Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]

    Shell 29 3

  3. PAPA PAPA Public

    Repository for the PopulAtion Parameter Averaging (PAPA) paper

    Python 25 3

  4. subpruning subpruning Public

    Code for "Data-Efficient Structured Pruning via Submodular Optimization" [NeurIPS 2022]

    Jupyter Notebook 7 2

  5. difference-submodular-min difference-submodular-min Public

    Code for "Difference of Submodular Minimization via DC Programming" [ICML 2023]

    MATLAB 3

  6. hyper-representation hyper-representation Public

    Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights [NeurIPS 2022]

    2

Repositories

Showing 10 of 12 repositories
  • ForestDiffusion Public

    Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models

    SamsungSAILMontreal/ForestDiffusion’s past year of commit activity
    Python 112 12 2 0 Updated Jun 6, 2024
  • LoGAH Public

    LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters.

    SamsungSAILMontreal/LoGAH’s past year of commit activity
    0 0 0 0 Updated May 29, 2024
  • layer-merge Public

    Code for "LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging" [ICML 2024]

    SamsungSAILMontreal/layer-merge’s past year of commit activity
    0 0 0 0 Updated May 28, 2024
  • PAPA Public

    Repository for the PopulAtion Parameter Averaging (PAPA) paper

    SamsungSAILMontreal/PAPA’s past year of commit activity
    Python 25 MIT 3 0 0 Updated Apr 11, 2024
  • ghn3 Public

    Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]

    SamsungSAILMontreal/ghn3’s past year of commit activity
    Shell 29 MIT 3 0 0 Updated Dec 12, 2023
  • l2o_pytorch Public

    Simple Learning to Optimize in PyTorch

    SamsungSAILMontreal/l2o_pytorch’s past year of commit activity
    Python 2 MIT 0 0 0 Updated Nov 21, 2023
  • difference-submodular-min Public

    Code for "Difference of Submodular Minimization via DC Programming" [ICML 2023]

    SamsungSAILMontreal/difference-submodular-min’s past year of commit activity
    MATLAB 3 MIT 0 0 0 Updated May 19, 2023
  • fair-matroid-submodular-max Public

    Code for "Fairness in Streaming Submodular Maximization over a Matroid Constraint" [ICML 2023]

    SamsungSAILMontreal/fair-matroid-submodular-max’s past year of commit activity
    0 0 0 0 Updated May 5, 2023
  • subpruning Public

    Code for "Data-Efficient Structured Pruning via Submodular Optimization" [NeurIPS 2022]

    SamsungSAILMontreal/subpruning’s past year of commit activity
    Jupyter Notebook 7 MIT 2 0 0 Updated May 5, 2023
  • GGM-metrics Public

    On Evaluation Metrics for Graph Generative Models [ICLR 2022]

    SamsungSAILMontreal/GGM-metrics’s past year of commit activity
    1 0 0 0 Updated Mar 22, 2023
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