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Achievement: Pull Sharkx2Achievement: Pair Extraordinaire

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DawidPludowski/README.md

Hi 👋

I just finished my Master's degree in Data Science.

💡 Currently working on:

  • badacz, benchmark for steering vectors (traditional+SAE) in collaboration with WolodjaZ

🎉 Recent successes:

  • MASCOTS, semantic counterfactual generation (accepted on ECML25!!), arXiv:2503.22389
  • Rethinking Encoder Warmstart, usage of tabular representation for Bayesian Opitmization (presented on Workshop track on AutoML24!!)
  • adaptivee, dynamic recommendation of optimal weights in ensembles (under review for TRL under Neurips... accepted on TRL@Neurips!!)
  • hellsemble, developed by the student research group, Koło Naukowe AutoML (published as preprint on arXiv)

📔 My interests:

  • AutoML
  • Tabular representations (e.g., D2V) and their usage in AutoML
  • XAI
  • Statistics in ML
  • Time Series explainability

👥 my affiliations:

📣 Reach me on:

Pinned Loading

  1. ModelOriented/mascots ModelOriented/mascots Public

    Semantic counterfactual framework for time series classification based on symbolic representations.

    Jupyter Notebook 1

  2. adaptivee adaptivee Public

    Adaptivee is an adaptive ensembler framework that assign models weights for each observation separately

    Jupyter Notebook

  3. azoz01/liltab azoz01/liltab Public

    Package for few-shot learning on tabular data

    Python 5 2

  4. azoz01/rethinking_encoder_warmstart azoz01/rethinking_encoder_warmstart Public

    Python 1

  5. MetaTunability MetaTunability Public

    Project to analyze dependencies between model's tunability and meta-data of task

    Python

  6. KN-Modelowania-Matematycznego/hellsemble KN-Modelowania-Matematycznego/hellsemble Public

    Implementation of the hellsemble ensembling approach.

    Python 2