latest_blog.json

{
  "title": "Recent posts",
  "items": [
    {
      "title": "Interpreting its sentiment analysis algorithm: BERT and its attention coefficients (1/2)",
      "permalink": "blog/2022/10/18/Interpretability_sentiment_analysis_I",
      "img_path": "./img/blog/interpretability_articles.jpg",
      "description": "Two illustrations of how attention coefficients can be a source of interpretability"
    },
    {
      "title": "Newsletter for September 2022",
      "permalink": "/blog/2022/09/20/newsletter_Sept-2022",
      "img_path": "./img/blog/header.png",
      "description": "Hi everyone, We are now in September and we release our 6th Newsletter! Ranging from podcasts to tutorials, this Newsletter is made for practicioners!"

    },
    {
      "title": "Deep RL and Optimization applied to Operations Research problem - 2/2 Reinforcement Learning approach",
      "permalink": "/blog/2022/09/06/deep_rl",
      "img_path":  "./img/blog/slovenia_bled_lake.jpg",
      "description": "This article is part of a series of articles which will introduce several optimization techniques, from traditional (yet advanced) Mathematical Optimization solvers and associated packages to Deep Reinforcement Learning algorithms, while tackling a very famous Operations Research problem: the multi-knapsack problem. Here, the focus is on traditional optimization techniques."

    },

    {
      "title": "Deep RL and Optimization applied to Operations Research problem - 1/2 Traditional Optimization techniques",
      "permalink": "/blog/2022/08/27/traditional_or",
      "img_path": "./img/blog/plitvice_lakes.jpg",
      "description": "This article is part of a series of articles which will introduce several optimization techniques, from traditional (yet advanced) Mathematical Optimization solvers and associated packages to Deep Reinforcement Learning algorithms, while tackling a very famous Operations Research problem: the multi-knapsack problem. Here, the focus is on traditional optimization techniques."

    }


    
  ]
}