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@tml-tuebingen

TML Tübingen

Theory of Machine Learning Group, University of Tübingen

👋 Welcome to the GitHub Page of the Theory of Machine Learning Group at the University of Tübigen.

Our focus is on the theoretical foundations of machine learning 🤖. We aim to understand algorithms from a formal perspective and provide guarantees for their performance. 👨‍🔬

Our Research spans:

🌈 Explainable Machine Learning
🔎 When Machine Learning Algorithms Provably Fail
⚖️ Understanding Implicit Assumptions and Hidden Biases
📐 Formal Mathematical Guarantees

Here, you will find the code and datasets that accompany our publications.

For more about our team, research, and teaching activities, check out our official website 🌐

Popular repositories Loading

  1. chatgpt-algorithm-exam chatgpt-algorithm-exam Public

    ChatGPT Participates in a Computer Science Exam (2023)

    31

  2. nshap nshap Public

    Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.

    Jupyter Notebook 17 2

  3. tangles tangles Public

    This is a python package for data clustering using the tangles algorithmic framework: Clustering with Tangles -- Algorithmic Framework and Theoretical Guarantees (JMLR)

    Jupyter Notebook 3 4

  4. evaluate-OE evaluate-OE Public

    Code for the paper - "Insights into Ordinal Embedding Algorithms: A Systematic Evaluation."

    Python 3 3

  5. facct-post-hoc facct-post-hoc Public

    Code Repository for "Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts", FAccT 2022

    Jupyter Notebook 2

  6. explanations-manifold explanations-manifold Public

    Code Repository for "The Manifold Hypothesis for Gradient-Based Explanations", CVPR 2023 Workshops

    Jupyter Notebook 2

Repositories

Showing 10 of 15 repositories
  • tml-tuebingen/mind-the-spikes’s past year of commit activity
    Python 0 Apache-2.0 1 0 0 Updated Nov 14, 2024
  • .github Public
    tml-tuebingen/.github’s past year of commit activity
    0 0 0 0 Updated Nov 14, 2024
  • forgetting-contamination Public

    How much can we forget about Data Contamination? (Neurips'24 Workshops)

    tml-tuebingen/forgetting-contamination’s past year of commit activity
    Jupyter Notebook 1 MIT 0 0 0 Updated Nov 4, 2024
  • dipd Public Forked from gcskoenig/dipd

    Disentangling Interactions and Dependencies in Feature Attribution using the DIP decomposition.

    tml-tuebingen/dipd’s past year of commit activity
    Python 0 MIT 1 0 0 Updated Oct 17, 2024
  • cblearn Public Forked from cblearn/cblearn

    Comparison-based Machine Learning in Python

    tml-tuebingen/cblearn’s past year of commit activity
    Python 0 MIT 9 0 0 Updated Jun 12, 2024
  • explanations-manifold Public

    Code Repository for "The Manifold Hypothesis for Gradient-Based Explanations", CVPR 2023 Workshops

    tml-tuebingen/explanations-manifold’s past year of commit activity
    Jupyter Notebook 2 MIT 0 0 0 Updated Feb 27, 2024
  • pags Public

    Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness (Neurips 2023)

    tml-tuebingen/pags’s past year of commit activity
    Python 1 MIT 1 0 0 Updated Nov 28, 2023
  • nshap Public

    Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.

    tml-tuebingen/nshap’s past year of commit activity
    Jupyter Notebook 17 MIT 2 0 0 Updated Sep 25, 2023
  • linear-gae Public

    Code to the paper: Relating graph auto-encoders to linear models (TMLR)

    tml-tuebingen/linear-gae’s past year of commit activity
    Python 0 MIT 0 0 0 Updated Sep 19, 2023
  • evaluate-OE Public

    Code for the paper - "Insights into Ordinal Embedding Algorithms: A Systematic Evaluation."

    tml-tuebingen/evaluate-OE’s past year of commit activity
    Python 3 3 0 0 Updated Jun 16, 2023

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