pat-alt.github.io/blog/index.qmd at main · pat-alt/pat-alt.github.io · GitHub

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---
title: "Welcome to my blog"
link-external-newwindow: true
listing:
  contents:
    - posts
    # Posts that have been migrated to taija.org
    - path: https://www.taija.org/blog/posts/conformal-llm/
      title: Building a Conformal Chatbot in Julia
      subtitle: HuggingFace, Transformers, and Conformal Prediction - Part 1
      date: '2023-07-05'
      categories:
        - Taija
        - conformal prediction
        - transformers
        - llm
        - Julia
      description: >-
        For this year's edition of the ING Analytics Experiment Week, we put `ConformalPrediction.jl` to work and built a chatbot that can be used for Conformal Intent Recognition.
      author: Patrick Altmeyer
      image: /www/images/taija.png
    - path: https://www.taija.org/blog/posts/guests-students-laplace/
      title: Paving the Way Towards Low-Overhead Uncertainty Calibration
      subtitle: An Accessible Intro to Laplace Approximations in Julia for Bayesian Deep Learning
      date: '2023-07-04'
      categories:
        - Taija
        - bayesian deep learning
        - laplace approximation
        - guest post
        - Julia
      description: >-
          A guest blog post by a team of students from TU Delft, who have contributed multiple improvements to LaplaceRedux.jl.
      author:
        - Severin Bratus
        - Mark Ardman
        - Adelina Cazacu
        - Andrei Ionescu
        - Ivan Makarov
        - Patrick Altmeyer
      image: /www/images/taija.png
    - path: https://www.taija.org/blog/posts/conformal-regression/
      title: Prediction Intervals for any Regression Model
      subtitle: Conformal Prediction in Julia --- Part 3
      date: '2022-12-12'
      categories:
        - Taija
        - probabilistic programming
        - uncertainty
        - conformal prediction
        - regression
        - Julia
      description: >-
        This third post introduces conformal regression by going through a standard machine learning workflow using [`MLJ.jl`](https://alan-turing-institute.github.io/MLJ.jl/dev/) and [`ConformalPrediction.jl`](https://github.com/juliatrustworthyai/ConformalPrediction.jl).
      author: Patrick Altmeyer
      image: /www/images/taija.png
    - path: https://www.taija.org/blog/posts/conformal-image-classifier/
      title: How to Conformalize a Deep Image Classifier
      subtitle: Conformal Prediction in Julia --- Part 2
      date: '2022-12-05'
      categories:
        - Taija
        - conformal prediction
        - uncertainty
        - Julia
      description: >-
        A guide demonstrating how to use [`ConformalPrediction.jl`](https://github.com/juliatrustworthyai/ConformalPrediction.jl) to conformalize a deep image classifier in a few lines of code.
      author: Patrick Altmeyer
      image: /www/images/taija.png
    - path: https://www.taija.org/blog/posts/conformal-prediction/
      title: Conformal Prediction in Julia 🟣🔴🟢
      subtitle: Conformal Prediction in Julia --- Part 1
      date: '2022-10-25'
      categories:
        - Taija
        - conformal prediction
        - uncertainty
        - Julia
      description: >-
        A (very) gentle introduction to Conformal Prediction in Julia using my new package [`ConformalPrediction.jl`](https://github.com/juliatrustworthyai/ConformalPrediction.jl).
      author: Patrick Altmeyer
      image: /www/images/taija.png
    - path: https://www.taija.org/blog/posts/a-new-tool-for-explainable-ai
      title: "A new tool for explainable AI"
      subtitle: "Counterfactual Explanations in Julia --- Part I"
      date: '2022-04-20'
      description: |
          This post introduces a new Julia package for generating counterfactual explanations. The package can be used to explain machine learning algorithms developed and trained in Julia as well as other popular programming languages like Python and R.
      categories:
        - Taija
        - counterfactuals
        - explainable AI
        - Julia
      author: Patrick Altmeyer
      image: /www/images/taija.png
    - path: https://www.taija.org/blog/posts/effortless-bayesian-dl
      title: 'Go deep, but also ... go Bayesian!'
      subtitle: Effortless Bayesian Deep Learning in Julia --- Part I
      date: '2022-02-18'
      categories:
        - Taija
        - bayes
        - deep learning
        - Julia
      description: >-
        An introduction to effortless Bayesian deep learning through Laplace
        approximation coded from scratch in Julia.
      author: Patrick Altmeyer
      image: /www/images/taija.png
  sort: "date desc"
  type: default
  categories: true
  fields: [image, date, title, description, author, reading-time]
  image-align: left
  feed: true
---

Below you can find a list of all my blog posts. I mostly blog about my research and open source projects.

::: {.callout-note}

## Migration to [www.taija.org](https://www.taija.org/)

Some of the blog posts listed below have been migrated to [www.taija.org](https://www.taija.org/). They are clearly marked through the Taija logo.

:::

## Posts